Compare commits
11
Commits
| Author | SHA1 | Date | |
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4ae30b82a0 | ||
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4bc3e30116 | ||
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6053d1b4ec | ||
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f43f9cda2f | ||
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992040e812 | ||
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5502a5069d | ||
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fc2af34450 | ||
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39723ec442 | ||
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25ceb6c133 | ||
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56451d3e5c | ||
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53638f72e1
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No files matched your search
@@ -16,3 +16,7 @@ output.mp4
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output.log
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output.log
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# images
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# images
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*.png
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*.png
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# Built app
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||||||
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build
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# Generated label images
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labels
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+5
-3
@@ -1,7 +1,9 @@
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FROM python:latest
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FROM python:3.11-slim
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||||||
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||||||
RUN apt-get update && apt-get install -y libgl1-mesa-glx ghostscript && apt-get clean && rm -rf /var/lib/apt/lists
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# Get runtime dependencies
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COPY . .
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# glx for OpenCV, ghostscript for datasheet PDF rendering, zbar for barcode scanning, git for cloning repos
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||||||
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RUN apt-get update && apt-get install -y libgl1-mesa-glx ghostscript libzbar0 git && apt-get clean && rm -rf /var/lib/apt/lists
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COPY *.py *.yml *.sh *.txt *.html static templates ./
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#COPY config-server.yml config.yml
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#COPY config-server.yml config.yml
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RUN pip3 install -r requirements.txt
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RUN pip3 install -r requirements.txt
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+72
-40
@@ -27,6 +27,7 @@ def check_internet(url='https://belden.com', timeout=5):
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||||||
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def query_search(partnum, source):
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def query_search(partnum, source):
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fprint("Searching for " + partnum)
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if source == "Belden":
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if source == "Belden":
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token_url = "https://www.belden.com/coveo/rest/token?t=" + str(int(time.time()))
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token_url = "https://www.belden.com/coveo/rest/token?t=" + str(int(time.time()))
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with requests.get(token_url) as r:
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with requests.get(token_url) as r:
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@@ -52,15 +53,15 @@ def query_search(partnum, source):
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a = json.loads(a)
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a = json.loads(a)
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idx = -1
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idx = -1
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name = ""
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name = ""
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for partid in range(len(a["results"])):
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for partid in range(len(a["results"])-1, -1, -1):
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name = a["results"][partid]["title"]
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name = a["results"][partid]["title"]
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if name != partnum:
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if name != partnum:
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if name.find(partnum) >= 0:
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if name.find(partnum) >= 0:
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idx = partid
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idx = partid
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break
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#break
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elif partnum.find(name) >= 0:
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elif partnum.find(name) >= 0:
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idx = partid
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idx = partid
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break
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#break
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else:
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else:
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idx = partid
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idx = partid
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@@ -69,7 +70,7 @@ def query_search(partnum, source):
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if idx < 0:
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if idx < 0:
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fprint("Could not find part in API: " + partnum)
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fprint("Could not find part in API: " + partnum)
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return False
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return False
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fprint("Search result found: result " + str(idx) + ", for ID " + name)
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#fprint("Search result found: result " + str(idx) + ", for ID " + name)
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#urlname = a["results"][0]["raw"]["catalogitemurlname"]
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#urlname = a["results"][0]["raw"]["catalogitemurlname"]
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img = a["results"][idx]["raw"]["catalogitemimageurl"]
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img = a["results"][idx]["raw"]["catalogitemimageurl"]
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img = img[0:img.index("?")]
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img = img[0:img.index("?")]
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@@ -92,7 +93,7 @@ def query_search(partnum, source):
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#print(out)
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#print(out)
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return out
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return out
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except:
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except:
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print("falied to search with API. Falling back to datasheet lookup.")
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print("Failed to search with API. Falling back to datasheet lookup.")
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return False
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return False
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@@ -112,12 +113,14 @@ def query_search(partnum, source):
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r = requests.get(url=alphaurl)
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r = requests.get(url=alphaurl)
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data = r.json()
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data = r.json()
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output = dict()
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output = dict()
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#print(data)
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#print(data["Results"])
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try:
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try:
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if data["Count"] > 0:
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if data["Count"] > 0:
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#print(data["Results"][0]["Url"])
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#print(data["Results"][0]["Url"])
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for result in data["Results"]:
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for result in data["Results"]:
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if result["Url"].split("/")[-1] == partnum:
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#print(result["Url"])
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if result["Url"].split("/")[-1] == partnum.replace("-", "").replace("/", "_"):
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#print(partnum)
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#print(partnum)
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#print(result["Html"])
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#print(result["Html"])
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try:
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try:
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@@ -133,14 +136,18 @@ def query_search(partnum, source):
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dsidx = result["Html"].index("<a href=\"/disteAPI/") + 9
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dsidx = result["Html"].index("<a href=\"/disteAPI/") + 9
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dsidx2 = result["Html"].index(partnum, dsidx) + len(partnum)
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dsidx2 = result["Html"].index(partnum, dsidx) + len(partnum)
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output["datasheet"] = "https://www.alphawire.com" + result["Html"][dsidx:dsidx2]
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output["datasheet"] = "https://www.alphawire.com" + result["Html"][dsidx:dsidx2]
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output["partnum"] = partnum
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output["partnum"] = partnum.replace("/", "_") #.replace("-", "").replace("/", "_")
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#"test".index()
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#
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# "test".index()
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#print(output)
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#print(output)
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return output
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return output
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except:
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except:
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print("Failed to search with API. Falling back to datasheet lookup.")
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return False
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return False
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print("Failed to search with API. Falling back to datasheet lookup.")
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return False
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return False
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@@ -150,14 +157,19 @@ def touch(path):
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def get_multi(partnums, delay=0.25):
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def get_multi(partnums, delay=0.25, dir="cables/", cache=True):
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with alive_bar(len(partnums) * 2, dual_line=True, calibrate=30, bar="classic2", spinner="classic") as bar:
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with alive_bar(len(partnums) * 2, dual_line=True, calibrate=30, bar="classic2", spinner="classic") as bar:
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failed = list()
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def _try_download_datasheet(partnum, output_dir): # Guess datasheet URL
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actualpartnums = list()
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def _try_download_datasheet(partnum, output_dir, dstype): # Guess datasheet URL
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global bartext
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global bartext
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sanitized_name = partnum.replace(" ", "")
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if dstype == "Belden":
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url = "https://catalog.belden.com/techdata/EN/" + sanitized_name + "_techdata.pdf"
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sanitized_name = partnum.replace(" ", "")
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url = "https://catalog.belden.com/techdata/EN/" + sanitized_name + "_techdata.pdf"
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elif dstype == "Alphawire":
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# Alphawire Datasheet URLs do not use a sanitized part number (but product pages do)
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url = "https://www.alphawire.com/disteAPI/SpecPDF/DownloadProductSpecPdf?productPartNumber=" + partnum
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#fprint(url)
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#fprint(url)
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try:
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try:
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with requests.get(url, stream=True) as r:
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with requests.get(url, stream=True) as r:
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@@ -167,8 +179,9 @@ def get_multi(partnums, delay=0.25):
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if r.status_code == 404:
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if r.status_code == 404:
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return False
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return False
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os.makedirs(output_dir, exist_ok=True)
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os.makedirs(output_dir, exist_ok=True)
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bartext = ""
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with open(output_dir + "/datasheet.pdf", 'wb') as f:
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with open(output_dir + "/datasheet.pdf", 'wb') as f:
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for chunk in r.iter_content(chunk_size=131072):
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for chunk in r.iter_content(chunk_size=65536):
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# If you have chunk encoded response uncomment if
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# If you have chunk encoded response uncomment if
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# and set chunk_size parameter to None.
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# and set chunk_size parameter to None.
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#if chunk:
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#if chunk:
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@@ -195,8 +208,9 @@ def get_multi(partnums, delay=0.25):
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if r.status_code == 404:
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if r.status_code == 404:
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return False
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return False
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os.makedirs(output_dir, exist_ok=True)
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os.makedirs(output_dir, exist_ok=True)
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bartext = ""
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with open(output_dir + "/datasheet.pdf", 'wb') as f:
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with open(output_dir + "/datasheet.pdf", 'wb') as f:
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for chunk in r.iter_content(chunk_size=131072):
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for chunk in r.iter_content(chunk_size=65536):
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# If you have chunk encoded response uncomment if
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# If you have chunk encoded response uncomment if
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# and set chunk_size parameter to None.
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# and set chunk_size parameter to None.
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#if chunk:
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#if chunk:
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@@ -221,8 +235,9 @@ def get_multi(partnums, delay=0.25):
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|||||||
if r.status_code == 404:
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if r.status_code == 404:
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return False
|
return False
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os.makedirs(output_dir, exist_ok=True)
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os.makedirs(output_dir, exist_ok=True)
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|
bartext = ""
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with open(output_dir + "/part-hires." + url.split(".")[-1], 'wb') as f:
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with open(output_dir + "/part-hires." + url.split(".")[-1], 'wb') as f:
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for chunk in r.iter_content(chunk_size=131072):
|
for chunk in r.iter_content(chunk_size=65536):
|
||||||
# If you have chunk encoded response uncomment if
|
# If you have chunk encoded response uncomment if
|
||||||
# and set chunk_size parameter to None.
|
# and set chunk_size parameter to None.
|
||||||
#if chunk:
|
#if chunk:
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@@ -245,8 +260,9 @@ def get_multi(partnums, delay=0.25):
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fprint("Parsing Datasheet contents of " + partnum)
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fprint("Parsing Datasheet contents of " + partnum)
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bar.text = "Parsing Datasheet contents of " + partnum + ".pdf..."
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bar.text = "Parsing Datasheet contents of " + partnum + ".pdf..."
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||||||
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read_datasheet.parse(path, output_dir, partnum, dstype)
|
out = read_datasheet.parse(path, output_dir, partnum, dstype)
|
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bar(skipped=False)
|
bar(skipped=False)
|
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|
return out
|
||||||
else:
|
else:
|
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fprint("Datasheet already parsed for " + partnum)
|
fprint("Datasheet already parsed for " + partnum)
|
||||||
bar.text = "Datasheet already parsed for " + partnum + ".pdf"
|
bar.text = "Datasheet already parsed for " + partnum + ".pdf"
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@@ -258,57 +274,73 @@ def get_multi(partnums, delay=0.25):
|
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bar(skipped=False)
|
bar(skipped=False)
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fprint("Parsing Datasheet contents of " + partnum)
|
fprint("Parsing Datasheet contents of " + partnum)
|
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bar.text = "Parsing Datasheet contents of " + partnum + ".pdf..."
|
bar.text = "Parsing Datasheet contents of " + partnum + ".pdf..."
|
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read_datasheet.parse(path, output_dir, partnum, dstype)
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out = read_datasheet.parse(path, output_dir, partnum, dstype)
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bar(skipped=False)
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bar(skipped=False)
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return out
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|
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||||||
def run_search(partnum):
|
def run_search(partnum):
|
||||||
output_dir = "cables/" + partnum
|
oldpartnum = partnum
|
||||||
|
if dstype == "Alphawire":
|
||||||
|
# For alphawire, sanitize the part number for only the final result check, because their API is very wierd
|
||||||
|
# For the actual search, it must be un-sanitized
|
||||||
|
partnum = partnum.replace("/","_")
|
||||||
|
output_dir = dir + partnum
|
||||||
path = output_dir + "/datasheet.pdf"
|
path = output_dir + "/datasheet.pdf"
|
||||||
bartext = "Downloading files for part " + partnum
|
bartext = "Downloading files for part " + partnum
|
||||||
bar.text = bartext
|
bar.text = bartext
|
||||||
#
|
partnum = oldpartnum.replace("_","/")
|
||||||
if (not os.path.exists(output_dir + "/found_part_hires")) or not (os.path.exists(path) and os.path.getsize(path) > 1):
|
returnval = [partnum, dstype, False, False]
|
||||||
|
if (not os.path.exists(output_dir + "/found_part_hires")) or not (os.path.exists(path) and os.path.getsize(path) > 1) or not cache:
|
||||||
# Use query
|
# Use query
|
||||||
search_result = query_search(partnum, dstype)
|
search_result = query_search(partnum, dstype)
|
||||||
# Try to use belden.com search
|
# Try to use belden.com search
|
||||||
if search_result is not False:
|
if search_result is not False:
|
||||||
# Download high resolution part image if available and needed
|
# Download high resolution part image if available and needed
|
||||||
|
#oldpartnum = partnum
|
||||||
partnum = search_result["partnum"]
|
partnum = search_result["partnum"]
|
||||||
output_dir = "cables/" + partnum
|
returnval = [partnum, dstype, False, False]
|
||||||
|
output_dir = dir + partnum
|
||||||
path = output_dir + "/datasheet.pdf"
|
path = output_dir + "/datasheet.pdf"
|
||||||
bartext = "Downloading files for part " + partnum
|
bartext = "Downloading files for part " + partnum
|
||||||
bar.text = bartext
|
bar.text = bartext
|
||||||
|
|
||||||
if not os.path.exists(output_dir + "/found_part_hires"):
|
if not os.path.exists(output_dir + "/found_part_hires") or not cache:
|
||||||
if _download_image(search_result["image"], output_dir):
|
if _download_image(search_result["image"], output_dir):
|
||||||
fprint("Downloaded hi-res part image for " + partnum)
|
fprint("Downloaded hi-res part image for " + partnum)
|
||||||
|
returnval = [partnum, dstype, True, False]
|
||||||
touch(output_dir + "/found_part_hires")
|
touch(output_dir + "/found_part_hires")
|
||||||
else:
|
else:
|
||||||
fprint("Using cached hi-res part image for " + partnum)
|
fprint("Using cached hi-res part image for " + partnum)
|
||||||
|
|
||||||
# Download datasheet from provided URL if needed
|
# Download datasheet from provided URL if needed
|
||||||
if os.path.exists(path) and os.path.getsize(path) > 1:
|
if os.path.exists(path) and os.path.getsize(path) > 1 and cache:
|
||||||
__use_cached_datasheet(partnum, path, output_dir, dstype)
|
out = __use_cached_datasheet(partnum, path, output_dir, dstype)
|
||||||
|
returnval = [partnum, dstype, True, out]
|
||||||
|
|
||||||
elif _download_datasheet(search_result["datasheet"], output_dir) is not False:
|
elif _download_datasheet(search_result["datasheet"], output_dir) is not False:
|
||||||
__downloaded_datasheet(partnum, path, output_dir, dstype)
|
out = __downloaded_datasheet(partnum, path, output_dir, dstype)
|
||||||
|
returnval = [partnum, dstype, True, out]
|
||||||
|
|
||||||
elif os.path.exists(path) and os.path.getsize(path) > 1:
|
elif os.path.exists(path) and os.path.getsize(path) > 1 and cache:
|
||||||
__use_cached_datasheet(partnum, path, output_dir, dstype)
|
out = __use_cached_datasheet(partnum, path, output_dir, dstype)
|
||||||
|
returnval = [partnum, dstype, True, out]
|
||||||
|
|
||||||
# If search fails, and we don't already have the datasheet, guess datasheet URL and skip the hires image download
|
# If search fails, and we don't already have the datasheet, guess datasheet URL and skip the hires image download
|
||||||
elif _try_download_datasheet(partnum, output_dir) is not False:
|
elif _try_download_datasheet(partnum, output_dir, dstype) is not False:
|
||||||
__downloaded_datasheet(partnum, path, output_dir, dstype)
|
out = __downloaded_datasheet(partnum, path, output_dir, dstype)
|
||||||
|
returnval = [partnum, dstype, False, out]
|
||||||
|
|
||||||
# Failed to download with search or guess :(
|
# Failed to download with search or guess :(
|
||||||
else:
|
else:
|
||||||
return False
|
return False
|
||||||
return True
|
actualpartnums.append(returnval)
|
||||||
|
return returnval
|
||||||
|
|
||||||
# We already have a hi-res image and the datasheet - perfect!
|
# We already have a hi-res image and the datasheet - perfect!
|
||||||
else:
|
else:
|
||||||
fprint("Using cached hi-res part image for " + partnum)
|
fprint("Using cached hi-res part image for " + partnum)
|
||||||
__use_cached_datasheet(partnum, path, output_dir, dstype)
|
out = __use_cached_datasheet(partnum, path, output_dir, dstype)
|
||||||
|
returnval = [partnum, dstype, False, out]
|
||||||
return True
|
return True
|
||||||
|
|
||||||
for fullpartnum in partnums:
|
for fullpartnum in partnums:
|
||||||
@@ -339,7 +371,7 @@ def get_multi(partnums, delay=0.25):
|
|||||||
if not success:
|
if not success:
|
||||||
fprint("Failed to download datasheet for part " + partnum)
|
fprint("Failed to download datasheet for part " + partnum)
|
||||||
bar.text = "Failed to download datasheet for part " + partnum
|
bar.text = "Failed to download datasheet for part " + partnum
|
||||||
failed.append(partnum)
|
failed.append((partnum, dstype))
|
||||||
bar(skipped=True)
|
bar(skipped=True)
|
||||||
bar(skipped=True)
|
bar(skipped=True)
|
||||||
time.sleep(delay)
|
time.sleep(delay)
|
||||||
@@ -347,10 +379,10 @@ def get_multi(partnums, delay=0.25):
|
|||||||
if len(failed) > 0:
|
if len(failed) > 0:
|
||||||
fprint("Failed to download:")
|
fprint("Failed to download:")
|
||||||
for partnum in failed:
|
for partnum in failed:
|
||||||
fprint(partnum)
|
fprint(partnum[1] + " " + partnum[0])
|
||||||
return False # Go to manual review upload page
|
return False, actualpartnums # Go to manual review upload page
|
||||||
else:
|
else:
|
||||||
return True # All cables downloaded; we are good to go
|
return True, actualpartnums # All cables downloaded; we are good to go
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
@@ -377,7 +409,7 @@ if __name__ == "__main__":
|
|||||||
"AW3050",
|
"AW3050",
|
||||||
"AW6714",
|
"AW6714",
|
||||||
"AW1172C",
|
"AW1172C",
|
||||||
"AW2211/4",
|
"AWFIT-221-1/4",
|
||||||
|
|
||||||
"BLTF-1LF-006-RS5N",
|
"BLTF-1LF-006-RS5N",
|
||||||
"BLTF-SD9-006-RI5N",
|
"BLTF-SD9-006-RI5N",
|
||||||
@@ -421,8 +453,8 @@ if __name__ == "__main__":
|
|||||||
"BLC6D1100007"
|
"BLC6D1100007"
|
||||||
|
|
||||||
]
|
]
|
||||||
#query_search("86104CY", "Alphawire")
|
print(query_search("74002", "Belden"))
|
||||||
get_multi(partnums, 0.25)
|
#get_multi(partnums, 0.25)
|
||||||
#query_search("10GXS13", "Belden")
|
#query_search("10GXS13", "Belden")
|
||||||
|
|
||||||
|
|
||||||
Binary file not shown.
+233
-190
@@ -9,7 +9,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 1,
|
"execution_count": 81,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
@@ -28,7 +28,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 2,
|
"execution_count": 82,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
@@ -52,16 +52,23 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 157,
|
"execution_count": 83,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"name": "stdout",
|
"data": {
|
||||||
"output_type": "stream",
|
"text/plain": [
|
||||||
"text": [
|
"[-243.619306486927,\n",
|
||||||
"[45.0, 90.70951422006029, 110.71500355039022, -20.005489330329944]\n",
|
" -123.2097721836616,\n",
|
||||||
"[45.0, -90.70951422006029, 110.71500355039022, -110.00548933032994]\n"
|
" 140.34764917140853,\n",
|
||||||
]
|
" -107.13787698774695,\n",
|
||||||
|
" -90.0,\n",
|
||||||
|
" 90.0]"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"execution_count": 83,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"source": [
|
"source": [
|
||||||
@@ -77,90 +84,101 @@
|
|||||||
" # Return angle\n",
|
" # Return angle\n",
|
||||||
" return normalized_theta\n",
|
" return normalized_theta\n",
|
||||||
"\n",
|
"\n",
|
||||||
"def get_joints_from_xyz_rel(x, y, z, initial_guess = (math.pi/2, math.pi/2, 0), limbs=(.422864, .359041, .092124)):\n",
|
"def get_joints_from_xyz_rel(x, y, z, rx=0, ry=-math.pi/2, rz=0, initial_guess = (math.pi/2, math.pi/2, 0)):\n",
|
||||||
" # Get polar coordinates of x,y pair\n",
|
" # Get limbs and offsets\n",
|
||||||
" r, theta = cartesian_to_polar(x, y)\n",
|
" offset_x, offset_y, offset_z = (0, 0, 0.14) # Tool offset\n",
|
||||||
|
" l_bs, l1, l2, l3, l_wt = (0.1333, .425, .39225, .1267, .0997) # Limb lengths\n",
|
||||||
" \n",
|
" \n",
|
||||||
" # Get length of each limb\n",
|
" # Calculate base angle and r relative to shoulder joint\n",
|
||||||
" l1, l2, l3 = limbs\n",
|
" def calculate_theta(x, y, a):\n",
|
||||||
|
" # Calculate if we need the + or - in our equations\n",
|
||||||
|
" if (x>a and y>=0) or (x>-a and y<0):\n",
|
||||||
|
" flip = 1\n",
|
||||||
|
" elif (x<a and y>=0) or (x<-a and y<0):\n",
|
||||||
|
" flip = -1\n",
|
||||||
|
" else: \n",
|
||||||
|
" # Critical section (x=a, or x=-a). Infinite slope\n",
|
||||||
|
" # Return 0 or 180 depending on sign\n",
|
||||||
|
" return math.atan2(y, 0) - math.pi/2\n",
|
||||||
|
" \n",
|
||||||
|
" # Calculate tangent line y = mx + b\n",
|
||||||
|
" if abs(a) != abs(x): # If there is no division by 0\n",
|
||||||
|
" m = (x*y + math.sqrt(x*x*y*y-(x*x-a*a)*(y*y-a*a)))/(x*x-a*a)\n",
|
||||||
|
" else: # Deal with edge case when x^2=a^2\n",
|
||||||
|
" m = flip*(-a*a+y*y)/(a*y-flip*abs(a*y))\n",
|
||||||
|
" b = flip * a * math.sqrt(1+m*m)\n",
|
||||||
|
"\n",
|
||||||
|
" # Calculate equivalent tangent point on circle\n",
|
||||||
|
" cx = (-flip*m*b)/(1+m*m)\n",
|
||||||
|
" cy = m*cx + flip*b\n",
|
||||||
|
"\n",
|
||||||
|
" # Calculate base angle, make angle negative if flip=1\n",
|
||||||
|
" theta = math.atan2(cy, cx) + (-math.pi if flip==1 else 0)\n",
|
||||||
|
"\n",
|
||||||
|
" return theta \n",
|
||||||
" \n",
|
" \n",
|
||||||
|
" base_theta = calculate_theta(x, y, l_bs)\n",
|
||||||
|
" cx, cy = l_bs*math.cos(base_theta), l_bs*math.sin(base_theta)\n",
|
||||||
|
" r = math.sqrt((x-cx)**2 + (y-cy)**2) \n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
" # Formulas to find out joint positions for (r, z)\n",
|
" # Formulas to find out joint positions for (r, z)\n",
|
||||||
" def inv_kin_r_z(p):\n",
|
" def inv_kin_r_z(p):\n",
|
||||||
" a, b, c = p\n",
|
" a, b, c = p \n",
|
||||||
"\n",
|
"\n",
|
||||||
" return (l1*math.cos(a) + l2*math.cos(a-b) + l3*math.cos(a-b-c) - r, # r\n",
|
" return (l1*math.cos(a) + l2*math.cos(a-b) + l3*math.cos(a-b-c) - r, # r\n",
|
||||||
" l1*math.sin(a) + l2*math.sin(a-b) - l3*math.sin(a-b-c) - z, # z\n",
|
" l1*math.sin(a) + l2*math.sin(a-b) - l3*math.sin(a-b-c) - (l3*math.sin(a-b-c)) - (z + offset_z), # z\n",
|
||||||
" a-b-c) # wrist angle\n",
|
" a-b-c) # wrist angle\n",
|
||||||
"\n",
|
"\n",
|
||||||
"\n",
|
"\n",
|
||||||
" # Normalize angles\n",
|
" # Normalize angles\n",
|
||||||
" base, shoulder, elbow, wrist = [normalize_degree(deg) for deg in [theta, *fsolve(inv_kin_r_z, initial_guess)]]\n",
|
" base, shoulder, elbow, wrist1 = [normalize_degree(deg) for deg in [base_theta, *fsolve(inv_kin_r_z, initial_guess)]]\n",
|
||||||
"\n",
|
"\n",
|
||||||
" # Return result\n",
|
" # Return result\n",
|
||||||
" return base, shoulder, elbow, wrist\n",
|
" return base, shoulder, elbow, wrist1, ry, rz\n",
|
||||||
"\n",
|
"\n",
|
||||||
"def get_joints_from_xyz_abs(x, y, z):\n",
|
"def get_joints_from_xyz_abs(x, y, z, rx=0, ry=-math.pi/2, rz=math.pi/2):\n",
|
||||||
" joints = get_joints_from_xyz_rel(x, y, z)\n",
|
" joints = get_joints_from_xyz_rel(x, y, z, rx, ry, rz)\n",
|
||||||
"\n",
|
"\n",
|
||||||
" # Joint offsets\n",
|
" # Joint offsets\n",
|
||||||
" # Base, Shoulder, Elbow, Wrist\n",
|
" # Base, Shoulder, Elbow, Wrist\n",
|
||||||
" inverse = [1, -1, 1, 1]\n",
|
" inverse = [1, -1, 1, 1, 1, 1]\n",
|
||||||
" offsets = [0, 0, 0, -math.pi/2]\n",
|
" offsets = [-math.pi/2, 0, 0, -math.pi/2, 0, 0]\n",
|
||||||
"\n",
|
"\n",
|
||||||
" # Return adjusted joint positions\n",
|
" # Return adjusted joint positions\n",
|
||||||
" return [o+j*i for j, o, i in zip(joints, offsets, inverse)]\n",
|
" return [o+j*i for j, o, i in zip(joints, offsets, inverse)]\n",
|
||||||
"\n",
|
"\n",
|
||||||
"print([math.degrees(deg) for deg in get_joints_from_xyz_rel(0.3, 0.3, 0.3)])\n",
|
"# Print degree rotation for each joint (robot angles)\n",
|
||||||
"print([math.degrees(deg) for deg in get_joints_from_xyz_abs(0.3, 0.3, 0.3)])"
|
"[math.degrees(deg) for deg in get_joints_from_xyz_abs(0, -0.3, 0.1)]"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "markdown",
|
"cell_type": "markdown",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"source": [
|
"source": [
|
||||||
"### Simulate arm and joint angles"
|
"### Simulate Arm and Joint Angles"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 164,
|
"execution_count": 84,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [],
|
||||||
{
|
|
||||||
"name": "stdout",
|
|
||||||
"output_type": "stream",
|
|
||||||
"text": [
|
|
||||||
"Target position (x,y,z): 0.3 0.3 0.3\n",
|
|
||||||
"Angles (base, shoulder, elbow, wrist): [45.0, 90.7095, 110.715, -20.0055]\n",
|
|
||||||
"Robot Angles: [45.0, -90.7095, 110.715, -110.0055]\n",
|
|
||||||
"elbow (x,y): -0.005 0.423\n",
|
|
||||||
"wrist (x,y): 0.332 0.3\n",
|
|
||||||
"tool (x,y): 0.424 0.3\n"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"data": {
|
|
||||||
"image/png": "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 truncated
|
|
||||||
"text/plain": [
|
|
||||||
"<Figure size 640x480 with 1 Axes>"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
"metadata": {},
|
|
||||||
"output_type": "display_data"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"source": [
|
"source": [
|
||||||
"def draw_arm(x, y, z):\n",
|
"def draw_arm_side_view(x, y, z, details=False):\n",
|
||||||
"\n",
|
"\n",
|
||||||
" # Get joint angles\n",
|
" # Get joint angles\n",
|
||||||
" l1, l2, l3 = (.422864, .359041, .092124)\n",
|
" l1, l2, l3 = .425, .39225, .1267\n",
|
||||||
|
" offset_x, offset_y, offset_z = (0, 0, 0.14)\n",
|
||||||
" r, theta = cartesian_to_polar(x, y)\n",
|
" r, theta = cartesian_to_polar(x, y)\n",
|
||||||
" base, shoulder, elbow, wrist = get_joints_from_xyz_rel(x, y, z)\n",
|
" base, shoulder, elbow, wrist, _, _ = get_joints_from_xyz_rel(x, y, z)\n",
|
||||||
"\n",
|
"\n",
|
||||||
" # Print angles\n",
|
" # Print angles\n",
|
||||||
" print('Target position (x,y,z):', x, y, z)\n",
|
" if details:\n",
|
||||||
" print('Angles (base, shoulder, elbow, wrist):', [round(math.degrees(i), 4) for i in [base, shoulder, elbow, wrist]])\n",
|
" print('Target position (x,y,z):', x, y, z)\n",
|
||||||
" print('Robot Angles:', [round(math.degrees(i), 4) for i in get_joints_from_xyz_abs(x, y, z)])\n",
|
" print('R: ', round(math.sqrt(x**2+y**2),4))\n",
|
||||||
|
" print('Angles (base, shoulder, elbow, wrist):', [round(math.degrees(i), 4) for i in [base, shoulder, elbow, wrist]])\n",
|
||||||
|
" print('Robot Angles:', [round(math.degrees(i), 4) for i in get_joints_from_xyz_abs(x, y, z)])\n",
|
||||||
"\n",
|
"\n",
|
||||||
" # Calculate each joint's endpoint position\n",
|
" # Calculate each joint's endpoint position\n",
|
||||||
" x1, y1 = polar_to_cartesian(l1, shoulder)\n",
|
" x1, y1 = polar_to_cartesian(l1, shoulder)\n",
|
||||||
@@ -169,17 +187,25 @@
|
|||||||
" y2 += y1\n",
|
" y2 += y1\n",
|
||||||
" x3, y3 = polar_to_cartesian(l3, shoulder-elbow-wrist)\n",
|
" x3, y3 = polar_to_cartesian(l3, shoulder-elbow-wrist)\n",
|
||||||
" x3 += x2\n",
|
" x3 += x2\n",
|
||||||
" y3 += y2\n",
|
" y3 += y2 \n",
|
||||||
|
" \n",
|
||||||
|
" tx = x3\n",
|
||||||
|
" ty = y3 - offset_z\n",
|
||||||
"\n",
|
"\n",
|
||||||
" # Print each joint's endpoint position\n",
|
" # Print each joint's endpoint position\n",
|
||||||
" print('elbow (x,y):', round(x1,3), round(y1,3))\n",
|
" if details:\n",
|
||||||
" print('wrist (x,y):', round(x2,3), round(y2,3))\n",
|
" print('elbow (x,y):', round(x1,3), round(y1,3))\n",
|
||||||
" print('tool (x,y):', round(x3,3), round(y3,3))\n",
|
" print('wrist (x,y):', round(x2,3), round(y2,3))\n",
|
||||||
|
" print('tool (x,y):', round(x3,3), round(y3,3))\n",
|
||||||
"\n",
|
"\n",
|
||||||
" # Draw limbs\n",
|
" # Draw limbs\n",
|
||||||
" plt.plot([0, x1], [0, y1], color='cyan', linewidth=7)\n",
|
" plt.plot([0, x1], [0, y1], color='cyan', linewidth=7)\n",
|
||||||
" plt.plot([x1, x2], [y1, y2], color='orange', linewidth=7)\n",
|
" plt.plot([x1, x2], [y1, y2], color='orange', linewidth=7)\n",
|
||||||
" plt.plot([x2, x2+l3], [y2, y2], color='red', linewidth=7)\n",
|
" plt.plot([x2, x2+l3], [y2, y2], color='red', linewidth=7)\n",
|
||||||
|
" plt.plot()\n",
|
||||||
|
"\n",
|
||||||
|
" # Draw toolpoint\n",
|
||||||
|
" plt.plot([x3, tx], [y3, ty], color='black', linewidth=7)\n",
|
||||||
"\n",
|
"\n",
|
||||||
" # Display angles\n",
|
" # Display angles\n",
|
||||||
" plt.text(0, 0.02, f'{round(math.degrees(shoulder), 2)}°')\n",
|
" plt.text(0, 0.02, f'{round(math.degrees(shoulder), 2)}°')\n",
|
||||||
@@ -191,140 +217,14 @@
|
|||||||
" plt.annotate(f'r={round(r,4)}', xy=(x2/2, 0.01), xycoords='data', xytext=(x2/2, 0), textcoords='offset points')\n",
|
" plt.annotate(f'r={round(r,4)}', xy=(x2/2, 0.01), xycoords='data', xytext=(x2/2, 0), textcoords='offset points')\n",
|
||||||
"\n",
|
"\n",
|
||||||
" # Display z arrow\n",
|
" # Display z arrow\n",
|
||||||
" plt.annotate(f'', xy=(x3, 0), xycoords='data', xytext=(x3, y3), textcoords='data', arrowprops={'arrowstyle': '<->'})\n",
|
" plt.annotate(f'', xy=(x3, 0), xycoords='data', xytext=(tx, ty), textcoords='data', arrowprops={'arrowstyle': '<->'})\n",
|
||||||
" plt.annotate(f'z={round(y2,4)}', xy=(x3+0.01, y2/2), xycoords='data', xytext=(x3/2, 0), textcoords='offset points')\n",
|
" plt.annotate(f'z={round(ty,4)}', xy=(tx+0.01, ty/2), xycoords='data', xytext=(x3/2, 0), textcoords='offset points')\n",
|
||||||
" \n",
|
" \n",
|
||||||
" # Display plot\n",
|
" # Display plot\n",
|
||||||
" ax = plt.subplot(111)\n",
|
" ax = plt.subplot(111)\n",
|
||||||
" ax.spines[['right', 'top']].set_visible(False)\n",
|
" ax.spines[['right', 'top']].set_visible(False)\n",
|
||||||
" plt.axis('equal')\n",
|
" plt.axis('equal')\n",
|
||||||
" plt.show()\n",
|
" plt.show()"
|
||||||
"\n",
|
|
||||||
"draw_arm(0.3, 0.3, 0.3)"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"cell_type": "code",
|
|
||||||
"execution_count": 165,
|
|
||||||
"metadata": {},
|
|
||||||
"outputs": [
|
|
||||||
{
|
|
||||||
"name": "stdout",
|
|
||||||
"output_type": "stream",
|
|
||||||
"text": [
|
|
||||||
"Target position (x,y,z): 0.3 0.3 0.3\n",
|
|
||||||
"Angles (base, shoulder, elbow, wrist): [45.0, 90.7095, 110.715, -20.0055]\n",
|
|
||||||
"Robot Angles: [45.0, -90.7095, 110.715, -110.0055]\n",
|
|
||||||
"elbow (x,y): -0.005 0.423\n",
|
|
||||||
"wrist (x,y): 0.332 0.3\n",
|
|
||||||
"tool (x,y): 0.424 0.3\n"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"data": {
|
|
||||||
"image/png": 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truncated
|
|
||||||
"text/plain": [
|
|
||||||
"<Figure size 640x480 with 1 Axes>"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
"metadata": {},
|
|
||||||
"output_type": "display_data"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"name": "stdout",
|
|
||||||
"output_type": "stream",
|
|
||||||
"text": [
|
|
||||||
"Target position (x,y,z): -0.3 -0.3 0.7\n",
|
|
||||||
"Angles (base, shoulder, elbow, wrist): [-135.0, 71.7346, 15.5104, 56.2242]\n",
|
|
||||||
"Robot Angles: [-135.0, -71.7346, 15.5104, -33.7758]\n",
|
|
||||||
"elbow (x,y): 0.133 0.402\n",
|
|
||||||
"wrist (x,y): 0.332 0.7\n",
|
|
||||||
"tool (x,y): 0.424 0.7\n"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"data": {
|
|
||||||
"image/png": 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truncated
|
|
||||||
"text/plain": [
|
|
||||||
"<Figure size 640x480 with 1 Axes>"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
"metadata": {},
|
|
||||||
"output_type": "display_data"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"name": "stdout",
|
|
||||||
"output_type": "stream",
|
|
||||||
"text": [
|
|
||||||
"Target position (x,y,z): -0.3 0.4 0.2\n",
|
|
||||||
"Angles (base, shoulder, elbow, wrist): [126.8699, 74.2826, 109.5002, -35.2176]\n",
|
|
||||||
"Robot Angles: [126.8699, -74.2826, 109.5002, -125.2176]\n",
|
|
||||||
"elbow (x,y): 0.115 0.407\n",
|
|
||||||
"wrist (x,y): 0.408 0.2\n",
|
|
||||||
"tool (x,y): 0.5 0.2\n"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"data": {
|
|
||||||
"image/png": "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 truncated
|
|
||||||
"text/plain": [
|
|
||||||
"<Figure size 640x480 with 1 Axes>"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
"metadata": {},
|
|
||||||
"output_type": "display_data"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"source": [
|
|
||||||
"draw_arm(0.3, 0.3, 0.3)\n",
|
|
||||||
"draw_arm(-0.3, -0.3, 0.7)\n",
|
|
||||||
"draw_arm(-0.3, 0.4, 0.2)"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"cell_type": "markdown",
|
|
||||||
"metadata": {},
|
|
||||||
"source": [
|
|
||||||
"## Interactive Arm"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"cell_type": "code",
|
|
||||||
"execution_count": 160,
|
|
||||||
"metadata": {},
|
|
||||||
"outputs": [
|
|
||||||
{
|
|
||||||
"data": {
|
|
||||||
"application/vnd.jupyter.widget-view+json": {
|
|
||||||
"model_id": "5617bc9f737949c4bc84c787ff88ce16",
|
|
||||||
"version_major": 2,
|
|
||||||
"version_minor": 0
|
|
||||||
},
|
|
||||||
"text/plain": [
|
|
||||||
"interactive(children=(FloatSlider(value=0.3, description='x', max=1.0, step=0.01), FloatSlider(value=0.3, desc…"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
"metadata": {},
|
|
||||||
"output_type": "display_data"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"data": {
|
|
||||||
"text/plain": [
|
|
||||||
"<function __main__.draw_arm(x, y, z)>"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
"execution_count": 160,
|
|
||||||
"metadata": {},
|
|
||||||
"output_type": "execute_result"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"source": [
|
|
||||||
"from ipywidgets import interact, FloatSlider\n",
|
|
||||||
"\n",
|
|
||||||
"# Interactive slider for z coordinate\n",
|
|
||||||
"interact(draw_arm, x=FloatSlider(min=0, max=1, step=0.01, value=0.3),\n",
|
|
||||||
" y=FloatSlider(min=0, max=1, step=0.01, value=0.3),\n",
|
|
||||||
" z=FloatSlider(min=0, max=1, step=0.01, value=0.3))\n"
|
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
@@ -332,7 +232,150 @@
|
|||||||
"execution_count": null,
|
"execution_count": null,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": []
|
"source": [
|
||||||
|
"def draw_arm_top_view(x, y, z, details=False):\n",
|
||||||
|
" # Get joint and position information\n",
|
||||||
|
" angles = get_joints_from_xyz_rel(x, y, z)\n",
|
||||||
|
" offset_x, offset_y, offset_z = (0, 0, 0.14) # Tool offset\n",
|
||||||
|
" l_bs, l1, l2, l3, l_wt = (0.1333, .425, .39225, .1267, .0997) # Limb lengths\n",
|
||||||
|
" cx, cy = l_bs*math.cos(angles[0]), l_bs*math.sin(angles[0]) # Base tangent point\n",
|
||||||
|
" line_angle = math.pi/2+angles[0]\n",
|
||||||
|
"\n",
|
||||||
|
" if details:\n",
|
||||||
|
" print('Angles:', [round(math.degrees(angle),3) for angle in angles])\n",
|
||||||
|
" print(f'Circle position (cx, cy): ({round(cx, 3)}, {round(cy, 3)})')\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
" # Plot coordinate system\n",
|
||||||
|
" fig = plt.figure()\n",
|
||||||
|
" ax = fig.add_subplot(1, 1, 1)\n",
|
||||||
|
" ax.spines['left'].set_position('center')\n",
|
||||||
|
" ax.spines['bottom'].set_position('center')\n",
|
||||||
|
" ax.spines['right'].set_color('none')\n",
|
||||||
|
" ax.spines['top'].set_color('none')\n",
|
||||||
|
" ax.set_yticklabels([])\n",
|
||||||
|
" ax.set_xticklabels([])\n",
|
||||||
|
" ax.set_xticks([])\n",
|
||||||
|
" ax.set_yticks([])\n",
|
||||||
|
"\n",
|
||||||
|
" # Target point\n",
|
||||||
|
" # plt.plot(x, y, 'go')\n",
|
||||||
|
"\n",
|
||||||
|
" # Circle\n",
|
||||||
|
" circle = plt.Circle((0, 0), l_bs, color='b', fill=False, linewidth=1)\n",
|
||||||
|
" plt.plot([0, cx], [0, cy], color='b', linewidth=1)\n",
|
||||||
|
" ax.add_patch(circle)\n",
|
||||||
|
"\n",
|
||||||
|
" # Draw limbs\n",
|
||||||
|
" # Shoulder\n",
|
||||||
|
" x1, y1 = polar_to_cartesian(l1*math.cos(angles[1]), line_angle)\n",
|
||||||
|
" x1, y1 = cx+x1, cy+y1\n",
|
||||||
|
" z1 = l1*math.sin(angles[1])\n",
|
||||||
|
" plt.plot([cx, x1], [cy, y1], color='cyan', linewidth=3)\n",
|
||||||
|
"\n",
|
||||||
|
" # Elbow\n",
|
||||||
|
" x2, y2 = polar_to_cartesian(l2*math.cos(angles[1]-angles[2]), line_angle)\n",
|
||||||
|
" x2 += x1\n",
|
||||||
|
" y2 += y1\n",
|
||||||
|
" z2 = z1 + l2*math.sin(angles[1]-angles[2])\n",
|
||||||
|
" plt.plot([x1, x2], [y1, y2], color='orange', linewidth=2)\n",
|
||||||
|
"\n",
|
||||||
|
" # Wrist\n",
|
||||||
|
" x3, y3 = polar_to_cartesian(l3*math.cos(angles[1]-angles[2]-angles[3]), line_angle)\n",
|
||||||
|
" x3 += x2\n",
|
||||||
|
" y3 += y2\n",
|
||||||
|
" z3 = z2 + l3*math.sin(angles[1]-angles[2]-angles[3]) \n",
|
||||||
|
" plt.plot([x2, x3], [y2, y3], color='red', linewidth=2)\n",
|
||||||
|
"\n",
|
||||||
|
" # Print joint positions\n",
|
||||||
|
" if details:\n",
|
||||||
|
" print(f'Shoulder (x, y, z): ({round(x1,3)}, {round(y1,3)}, {round(z1,3)})')\n",
|
||||||
|
" print(f'Elbow (x, y, z): ({round(x2,3)}, {round(y2,3)}, {round(z2,3)})')\n",
|
||||||
|
" print(f'Wrist (x, y, z): ({round(x3,3)}, {round(y3,3)}, {round(z3,3)})')\n",
|
||||||
|
"\n",
|
||||||
|
" # Display angle\n",
|
||||||
|
" plt.text(0.01, -0.01-cy/abs(cy+0.00001)*0.02, f'{round(math.degrees(angles[0]), 2)}°', fontsize=7)\n",
|
||||||
|
"\n",
|
||||||
|
" # Display x arrow\n",
|
||||||
|
" sign = x3/abs(x3)\n",
|
||||||
|
" plt.annotate(f'', xy=(0, y3), xycoords='data', xytext=(x3, y3), textcoords='data', arrowprops={'arrowstyle': '<->'})\n",
|
||||||
|
" plt.annotate(f'x={round(x3,3)}', xy=(-0.1-sign*0.13, y3-0.015), xycoords='data', xytext=(x2/2, 0), textcoords='offset points')\n",
|
||||||
|
"\n",
|
||||||
|
" # Display y arrow\n",
|
||||||
|
" sign = y3/abs(y3)\n",
|
||||||
|
" plt.annotate(f'', xy=(x3, 0), xycoords='data', xytext=(x3, y3), textcoords='data', arrowprops={'arrowstyle': '<->'})\n",
|
||||||
|
" plt.annotate(f'y={round(y3,3)}', xy=((x3-0.1), -0.015-sign*0.03), xycoords='data', xytext=(x3/2, 0), textcoords='offset points')\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
" # Set axis limits and labels\n",
|
||||||
|
" axis_limit = math.hypot(x, y)+.1\n",
|
||||||
|
" plt.axis('square')\n",
|
||||||
|
" plt.xlim(-axis_limit, axis_limit)\n",
|
||||||
|
" plt.ylim(-axis_limit, axis_limit)\n",
|
||||||
|
"\n",
|
||||||
|
" # Adjust the position of axis labels\n",
|
||||||
|
" plt.xlabel('+x', horizontalalignment='right', x=1.05)\n",
|
||||||
|
" plt.ylabel('+y', verticalalignment='top', rotation=0, y=1.05)\n",
|
||||||
|
" plt.show()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 89,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"Target position (x,y,z): 0.5 0.5 0.3\n",
|
||||||
|
"R: 0.7071\n",
|
||||||
|
"Angles (base, shoulder, elbow, wrist): [-34.1339, 65.0453, 57.0325, 8.0128]\n",
|
||||||
|
"Robot Angles: [-124.1339, -65.0453, 57.0325, -81.9872, -90.0, 90.0]\n",
|
||||||
|
"elbow (x,y): 0.179 0.385\n",
|
||||||
|
"wrist (x,y): 0.568 0.44\n",
|
||||||
|
"tool (x,y): 0.694 0.44\n"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"image/png": "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 truncated
|
||||||
|
"text/plain": [
|
||||||
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "display_data"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"Angles: [-34.134, 65.045, 57.033, 8.013, -90.0, 0.0]\n",
|
||||||
|
"Circle position (cx, cy): (0.11, -0.075)\n",
|
||||||
|
"Shoulder (x, y, z): (0.211, 0.074, 0.385)\n",
|
||||||
|
"Elbow (x, y, z): (0.429, 0.395, 0.44)\n",
|
||||||
|
"Wrist (x, y, z): (0.5, 0.5, 0.44)\n"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"image/png": "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 truncated
|
||||||
|
"text/plain": [
|
||||||
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "display_data"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"def draw_arm(x, y, z, details=False):\n",
|
||||||
|
" draw_arm_side_view(x,y,z, details=details)\n",
|
||||||
|
" draw_arm_top_view(x,y,z, details=details)\n",
|
||||||
|
"\n",
|
||||||
|
"draw_arm(0.5,0.5,0.3, details=True)"
|
||||||
|
]
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"metadata": {
|
"metadata": {
|
||||||
|
|||||||
Executable
+100
@@ -0,0 +1,100 @@
|
|||||||
|
#!/usr/bin/env python3
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
from get_specs import get_multi
|
||||||
|
import sys
|
||||||
|
import uuid
|
||||||
|
import os
|
||||||
|
import signal
|
||||||
|
from PIL import Image
|
||||||
|
from label_image import generate_code
|
||||||
|
|
||||||
|
|
||||||
|
def input_cable():
|
||||||
|
print("")
|
||||||
|
print("Use the full part number. Spaces, special characters are allowed. Do not specify the brand.")
|
||||||
|
print("")
|
||||||
|
print("Please enter a part number and press enter:")
|
||||||
|
inputnum = input("").strip()
|
||||||
|
if len(inputnum) < 2:
|
||||||
|
killall_signal(0, 0)
|
||||||
|
print("Input part number:", inputnum)
|
||||||
|
print("Searching databases for cables...")
|
||||||
|
# Search both AW and BL sites
|
||||||
|
status, output = get_multi(["BL"+inputnum, "AW"+inputnum], delay=0.1, dir="temp/" + str(uuid.uuid4()) + "/", cache=False)
|
||||||
|
print("")
|
||||||
|
if len(output) > 1:
|
||||||
|
for i in output:
|
||||||
|
print(i[1], i[0])
|
||||||
|
print("Multiple brands with the same part number! Please type \"b\" for the Belden part number or \"a\" for the Alphawire cable")
|
||||||
|
inputbrand = input()
|
||||||
|
if inputbrand == "b":
|
||||||
|
output = [output[0]]
|
||||||
|
elif inputbrand == "a":
|
||||||
|
output = [output[1]]
|
||||||
|
elif len(output) == 0:
|
||||||
|
print("No results found for part number", inputnum + ". Please try again with a different part number.")
|
||||||
|
return
|
||||||
|
|
||||||
|
output = output[0]
|
||||||
|
print("")
|
||||||
|
if output[2] and output[3]:
|
||||||
|
print("Cable result found -",output[1], output[0], "with high-quality image and full specs")
|
||||||
|
elif output[2]:
|
||||||
|
print("Cable result found -",output[1], output[0], "with high-quality image and no specs")
|
||||||
|
elif output[3]:
|
||||||
|
print("Cable result found -",output[1], output[0], "with no/low quality image and full specs")
|
||||||
|
else:
|
||||||
|
print("Cable result found -",output[1], output[0], "with no/low quality image and no specs")
|
||||||
|
print("")
|
||||||
|
if not output[3]:
|
||||||
|
print("Unable to decode cable specs. Please try again with a different part number.")
|
||||||
|
return False
|
||||||
|
else:
|
||||||
|
print("")
|
||||||
|
print("*** Cable details confirmed. Creating label...")
|
||||||
|
print("")
|
||||||
|
img = None
|
||||||
|
imgstr = ""
|
||||||
|
if output[1] == "Belden":
|
||||||
|
imgstr = "BL"
|
||||||
|
elif output[1] == "Alphawire":
|
||||||
|
imgstr = "AW"
|
||||||
|
img = generate_code(imgstr + output[0])
|
||||||
|
os.makedirs("labels", exist_ok=True)
|
||||||
|
img.save("labels/" + imgstr + output[0] + ".png")
|
||||||
|
|
||||||
|
def delete_folder(path):
|
||||||
|
# Check if the path is a directory
|
||||||
|
if not os.path.isdir(path):
|
||||||
|
return
|
||||||
|
|
||||||
|
# List all files and directories in the path
|
||||||
|
for filename in os.listdir(path):
|
||||||
|
file_path = os.path.join(path, filename)
|
||||||
|
# If it's a directory, recursively call this function
|
||||||
|
if os.path.isdir(file_path):
|
||||||
|
delete_folder(file_path)
|
||||||
|
else:
|
||||||
|
# If it's a file, remove it
|
||||||
|
os.remove(file_path)
|
||||||
|
|
||||||
|
# After removing all contents, remove the directory itself
|
||||||
|
os.rmdir(path)
|
||||||
|
|
||||||
|
def killall_signal(a,b):
|
||||||
|
delete_folder("temp")
|
||||||
|
os.kill(os.getpid(), 9) # dirty kill of self
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
|
||||||
|
signal.signal(signal.SIGINT, killall_signal)
|
||||||
|
signal.signal(signal.SIGTERM, killall_signal)
|
||||||
|
print("Welcome to the Jukebox cable utility. This tool will allow you to verify Belden & Alphawire cable part numbers and create labels for samples in the Jukebox.")
|
||||||
|
print("This tool requires internet access to download cable specifications and verify part numbers.")
|
||||||
|
#print("Use Ctrl+C to exit.")
|
||||||
|
while True:
|
||||||
|
delete_folder("temp")
|
||||||
|
input_cable()
|
||||||
|
|
||||||
Executable
+238
@@ -0,0 +1,238 @@
|
|||||||
|
#!/usr/bin/env python3
|
||||||
|
from util import fprint
|
||||||
|
|
||||||
|
from PIL import Image
|
||||||
|
from PIL import ImageDraw
|
||||||
|
#import cv2
|
||||||
|
import numpy as np
|
||||||
|
#import math
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# Copied from http://en.wikipedia.org/wiki/Code_128
|
||||||
|
# Value Weights 128A 128B 128C
|
||||||
|
CODE128_CHART = """
|
||||||
|
0 212222 space space 00
|
||||||
|
1 222122 ! ! 01
|
||||||
|
2 222221 " " 02
|
||||||
|
3 121223 # # 03
|
||||||
|
4 121322 $ $ 04
|
||||||
|
5 131222 % % 05
|
||||||
|
6 122213 & & 06
|
||||||
|
7 122312 ' ' 07
|
||||||
|
8 132212 ( ( 08
|
||||||
|
9 221213 ) ) 09
|
||||||
|
10 221312 * * 10
|
||||||
|
11 231212 + + 11
|
||||||
|
12 112232 , , 12
|
||||||
|
13 122132 - - 13
|
||||||
|
14 122231 . . 14
|
||||||
|
15 113222 / / 15
|
||||||
|
16 123122 0 0 16
|
||||||
|
17 123221 1 1 17
|
||||||
|
18 223211 2 2 18
|
||||||
|
19 221132 3 3 19
|
||||||
|
20 221231 4 4 20
|
||||||
|
21 213212 5 5 21
|
||||||
|
22 223112 6 6 22
|
||||||
|
23 312131 7 7 23
|
||||||
|
24 311222 8 8 24
|
||||||
|
25 321122 9 9 25
|
||||||
|
26 321221 : : 26
|
||||||
|
27 312212 ; ; 27
|
||||||
|
28 322112 < < 28
|
||||||
|
29 322211 = = 29
|
||||||
|
30 212123 > > 30
|
||||||
|
31 212321 ? ? 31
|
||||||
|
32 232121 @ @ 32
|
||||||
|
33 111323 A A 33
|
||||||
|
34 131123 B B 34
|
||||||
|
35 131321 C C 35
|
||||||
|
36 112313 D D 36
|
||||||
|
37 132113 E E 37
|
||||||
|
38 132311 F F 38
|
||||||
|
39 211313 G G 39
|
||||||
|
40 231113 H H 40
|
||||||
|
41 231311 I I 41
|
||||||
|
42 112133 J J 42
|
||||||
|
43 112331 K K 43
|
||||||
|
44 132131 L L 44
|
||||||
|
45 113123 M M 45
|
||||||
|
46 113321 N N 46
|
||||||
|
47 133121 O O 47
|
||||||
|
48 313121 P P 48
|
||||||
|
49 211331 Q Q 49
|
||||||
|
50 231131 R R 50
|
||||||
|
51 213113 S S 51
|
||||||
|
52 213311 T T 52
|
||||||
|
53 213131 U U 53
|
||||||
|
54 311123 V V 54
|
||||||
|
55 311321 W W 55
|
||||||
|
56 331121 X X 56
|
||||||
|
57 312113 Y Y 57
|
||||||
|
58 312311 Z Z 58
|
||||||
|
59 332111 [ [ 59
|
||||||
|
60 314111 \ \ 60
|
||||||
|
61 221411 ] ] 61
|
||||||
|
62 431111 ^ ^ 62
|
||||||
|
63 111224 _ _ 63
|
||||||
|
64 111422 NUL ` 64
|
||||||
|
65 121124 SOH a 65
|
||||||
|
66 121421 STX b 66
|
||||||
|
67 141122 ETX c 67
|
||||||
|
68 141221 EOT d 68
|
||||||
|
69 112214 ENQ e 69
|
||||||
|
70 112412 ACK f 70
|
||||||
|
71 122114 BEL g 71
|
||||||
|
72 122411 BS h 72
|
||||||
|
73 142112 HT i 73
|
||||||
|
74 142211 LF j 74
|
||||||
|
75 241211 VT k 75
|
||||||
|
76 221114 FF l 76
|
||||||
|
77 413111 CR m 77
|
||||||
|
78 241112 SO n 78
|
||||||
|
79 134111 SI o 79
|
||||||
|
80 111242 DLE p 80
|
||||||
|
81 121142 DC1 q 81
|
||||||
|
82 121241 DC2 r 82
|
||||||
|
83 114212 DC3 s 83
|
||||||
|
84 124112 DC4 t 84
|
||||||
|
85 124211 NAK u 85
|
||||||
|
86 411212 SYN v 86
|
||||||
|
87 421112 ETB w 87
|
||||||
|
88 421211 CAN x 88
|
||||||
|
89 212141 EM y 89
|
||||||
|
90 214121 SUB z 90
|
||||||
|
91 412121 ESC { 91
|
||||||
|
92 111143 FS | 92
|
||||||
|
93 111341 GS } 93
|
||||||
|
94 131141 RS ~ 94
|
||||||
|
95 114113 US DEL 95
|
||||||
|
96 114311 FNC3 FNC3 96
|
||||||
|
97 411113 FNC2 FNC2 97
|
||||||
|
98 411311 ShiftB ShiftA 98
|
||||||
|
99 113141 CodeC CodeC 99
|
||||||
|
100 114131 CodeB FNC4 CodeB
|
||||||
|
101 311141 FNC4 CodeA CodeA
|
||||||
|
102 411131 FNC1 FNC1 FNC1
|
||||||
|
103 211412 StartA StartA StartA
|
||||||
|
104 211214 StartB StartB StartB
|
||||||
|
105 211232 StartC StartC StartC
|
||||||
|
106 2331112 Stop Stop Stop
|
||||||
|
""".split()
|
||||||
|
|
||||||
|
VALUES = [int(value) for value in CODE128_CHART[0::5]]
|
||||||
|
WEIGHTS = dict(zip(VALUES, CODE128_CHART[1::5]))
|
||||||
|
CODE128A = dict(zip(CODE128_CHART[2::5], VALUES))
|
||||||
|
CODE128B = dict(zip(CODE128_CHART[3::5], VALUES))
|
||||||
|
CODE128C = dict(zip(CODE128_CHART[4::5], VALUES))
|
||||||
|
|
||||||
|
for charset in (CODE128A, CODE128B):
|
||||||
|
charset[' '] = charset.pop('space')
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
def generate_code(data, show=False, check=False):
|
||||||
|
|
||||||
|
img = code128_image(data)
|
||||||
|
if show:
|
||||||
|
img.show()
|
||||||
|
#img.show()
|
||||||
|
#print(data)
|
||||||
|
|
||||||
|
if(check):
|
||||||
|
from pyzbar.pyzbar import decode
|
||||||
|
from pyzbar.pyzbar import ZBarSymbol
|
||||||
|
print(decode(img, symbols=[ZBarSymbol.CODE128])[0].data.decode('ascii'))
|
||||||
|
|
||||||
|
#if(decode(img, symbols=[ZBarSymbol.CODE128])[0].data.decode('ascii') == data):
|
||||||
|
# return True
|
||||||
|
#else:
|
||||||
|
# return False
|
||||||
|
return img
|
||||||
|
|
||||||
|
def code128_format(data):
|
||||||
|
"""
|
||||||
|
Generate an optimal barcode from ASCII text
|
||||||
|
"""
|
||||||
|
text = str(data)
|
||||||
|
pos = 0
|
||||||
|
length = len(text)
|
||||||
|
|
||||||
|
# Start Code
|
||||||
|
if text[:2].isdigit():
|
||||||
|
charset = CODE128C
|
||||||
|
codes = [charset['StartC']]
|
||||||
|
else:
|
||||||
|
charset = CODE128B
|
||||||
|
codes = [charset['StartB']]
|
||||||
|
|
||||||
|
# Data
|
||||||
|
while pos < length:
|
||||||
|
if charset is CODE128C:
|
||||||
|
if text[pos:pos+2].isdigit() and length - pos > 1:
|
||||||
|
# Encode Code C two characters at a time
|
||||||
|
codes.append(int(text[pos:pos+2]))
|
||||||
|
pos += 2
|
||||||
|
else:
|
||||||
|
# Switch to Code B
|
||||||
|
codes.append(charset['CodeB'])
|
||||||
|
charset = CODE128B
|
||||||
|
elif text[pos:pos+4].isdigit() and length - pos >= 4:
|
||||||
|
# Switch to Code C
|
||||||
|
codes.append(charset['CodeC'])
|
||||||
|
charset = CODE128C
|
||||||
|
else:
|
||||||
|
# Encode Code B one character at a time
|
||||||
|
codes.append(charset[text[pos]])
|
||||||
|
pos += 1
|
||||||
|
|
||||||
|
# Checksum
|
||||||
|
checksum = 0
|
||||||
|
for weight, code in enumerate(codes):
|
||||||
|
checksum += max(weight, 1) * code
|
||||||
|
codes.append(checksum % 103)
|
||||||
|
|
||||||
|
# Stop Code
|
||||||
|
codes.append(charset['Stop'])
|
||||||
|
return codes
|
||||||
|
|
||||||
|
def code128_image(data, height=100, thickness=3, quiet_zone=False):
|
||||||
|
if not data[-1] == CODE128B['Stop']:
|
||||||
|
data = code128_format(data)
|
||||||
|
|
||||||
|
|
||||||
|
barcode_widths = []
|
||||||
|
for code in data:
|
||||||
|
for weight in WEIGHTS[code]:
|
||||||
|
barcode_widths.append(int(weight) * thickness)
|
||||||
|
width = sum(barcode_widths)
|
||||||
|
x = 0
|
||||||
|
|
||||||
|
|
||||||
|
if quiet_zone:
|
||||||
|
width += 20 * thickness
|
||||||
|
x = 10 * thickness
|
||||||
|
|
||||||
|
# Monochrome Image
|
||||||
|
img = Image.new('RGB', (int(width * 10), int(width * 10)), 'white')
|
||||||
|
draw = ImageDraw.Draw(img)
|
||||||
|
draw_bar = True
|
||||||
|
for bwidth in barcode_widths:
|
||||||
|
bwidth *= 4
|
||||||
|
if draw_bar:
|
||||||
|
draw.rectangle(((x + int(width * 3), width*6.25), (x + int(width * 3) + bwidth - 1, width*7)), fill='black')
|
||||||
|
draw_bar = not draw_bar
|
||||||
|
x += bwidth
|
||||||
|
|
||||||
|
#draw.arc(((width - width/5, width - width/5), (width*9 + width/5, width*9 + width/5)),0,360,fill='blue', width = int(width/8))
|
||||||
|
draw.arc(((width+int(width / 1.4), width+int(width / 1.4)), (width*9-int(width / 1.4), width*9-int(width / 1.4))),0,360,fill='blue', width = int(width/8))
|
||||||
|
return img
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
#print(generate_code("BL10GXS13"))
|
||||||
|
#print(generate_code("BL10GXgd35j35S13"))
|
||||||
|
#print(generate_code("BL10GX54hS13"))
|
||||||
|
print(generate_code("BL10Gj34qXS13", False, False))
|
||||||
|
#print(generate_code("BL104w5545dp7bfwp43643534/4563G-XS13"))
|
||||||
|
#adjust_image(cv2.imread('test_skew.jpg'))
|
||||||
+147
-43
@@ -1,9 +1,8 @@
|
|||||||
#!/usr/bin/env python3
|
#!/usr/bin/env python3
|
||||||
|
|
||||||
# Parse Belden catalog techdata datasheets
|
# Parse Belden (100%) & Alphawire (75%) catalog techdata datasheets
|
||||||
|
|
||||||
import pandas as pd
|
import pandas as pd
|
||||||
pd.set_option('future.no_silent_downcasting', True)
|
|
||||||
from PyPDF2 import PdfReader
|
from PyPDF2 import PdfReader
|
||||||
import camelot
|
import camelot
|
||||||
import numpy as np
|
import numpy as np
|
||||||
@@ -13,55 +12,94 @@ import json
|
|||||||
from util import fprint
|
from util import fprint
|
||||||
import uuid
|
import uuid
|
||||||
from util import run_cmd
|
from util import run_cmd
|
||||||
|
from util import win32
|
||||||
import os
|
import os
|
||||||
|
import glob
|
||||||
|
import sys
|
||||||
|
|
||||||
def touch(path):
|
def touch(path):
|
||||||
with open(path, 'a'):
|
with open(path, 'a'):
|
||||||
os.utime(path, None)
|
os.utime(path, None)
|
||||||
|
|
||||||
|
def find_data_file(filename):
|
||||||
|
if getattr(sys, "frozen", False):
|
||||||
|
# The application is frozen
|
||||||
|
datadir = os.path.dirname(sys.executable)
|
||||||
|
else:
|
||||||
|
# The application is not frozen
|
||||||
|
# Change this bit to match where you store your data files:
|
||||||
|
datadir = os.path.dirname(__file__)
|
||||||
|
return os.path.join(datadir, filename)
|
||||||
|
|
||||||
|
def extract_table_name(table_start, searchpage, reader, dstype, fallbackname):
|
||||||
|
if dstype == "Belden":
|
||||||
|
ymin = table_start
|
||||||
|
ymax = table_start + 10
|
||||||
|
elif dstype == "Alphawire":
|
||||||
|
ymin = table_start - 5
|
||||||
|
ymax = table_start + 10
|
||||||
|
page = reader.pages[searchpage - 1]
|
||||||
|
parts = []
|
||||||
|
def visitor_body(text, cm, tm, fontDict, fontSize):
|
||||||
|
y = tm[5]
|
||||||
|
if y > ymin and y < ymax:
|
||||||
|
parts.append(text)
|
||||||
|
page.extract_text(visitor_text=visitor_body)
|
||||||
|
text_body = "".join(parts).strip('\n')
|
||||||
|
if len(text_body) == 0:
|
||||||
|
text_body = str(fallbackname)
|
||||||
|
|
||||||
|
return text_body
|
||||||
|
#fprint(text_body)
|
||||||
|
|
||||||
def parse(filename, output_dir, partnum, dstype):
|
def parse(filename, output_dir, partnum, dstype):
|
||||||
|
tables = []
|
||||||
# Extract table data
|
# Extract table data
|
||||||
|
try:
|
||||||
tables = camelot.read_pdf(filename, pages="1-end", flavor='lattice', backend="poppler", split_text=False, line_scale=100, process_background=True, resolution=600, interations=1, layout_kwargs={'detect_vertical': False, 'char_margin': 0.5}, shift_text=['r', 't'])
|
if dstype == "Belden":
|
||||||
|
tables = camelot.read_pdf(filename, pages="1-end", flavor='lattice', backend="ghostscript", split_text=False, line_scale=100, process_background=True, resolution=600, interations=1, layout_kwargs={'detect_vertical': False, 'char_margin': 0.5}, shift_text=['r', 't'])
|
||||||
|
elif dstype == "Alphawire":
|
||||||
|
tables = camelot.read_pdf(filename, pages="1-end", flavor='lattice', backend="ghostscript", split_text=False, line_scale=50, process_background=True, resolution=600, interations=1, layout_kwargs={'detect_vertical': True, 'char_margin': 0.5}, shift_text=['l', 't'])
|
||||||
|
except (OSError, RuntimeError) as e:
|
||||||
|
print(e)
|
||||||
|
if win32:
|
||||||
|
print("Ghostscript is not installed! Launching installer...")
|
||||||
|
#subprocess.run([r".\\gs10030w64.exe"])
|
||||||
|
os.system(r'''Powershell -Command "& { Start-Process \"''' + find_data_file("gs10030w64.exe") + r'''\" -Verb RunAs } " ''')
|
||||||
|
# Will return once file launched...
|
||||||
|
print("Once the install is completed, try again.")
|
||||||
|
return False
|
||||||
|
else:
|
||||||
|
print("Ghostscript is not installed. You can install it with e.g. apt install ghostscript for Debian-based systems.")
|
||||||
|
return False
|
||||||
#fprint("Total tables extracted:", tables.n)
|
#fprint("Total tables extracted:", tables.n)
|
||||||
n = 0
|
n = 0
|
||||||
pagenum = 0
|
#pagenum = 0
|
||||||
reader = PdfReader(filename)
|
reader = PdfReader(filename)
|
||||||
page = reader.pages[0]
|
page = reader.pages[0]
|
||||||
table_list = {}
|
table_list = {}
|
||||||
|
table_list_raw = {}
|
||||||
|
pd.set_option('future.no_silent_downcasting', True)
|
||||||
for table in tables:
|
for table in tables:
|
||||||
|
#with pd.options.context("future.no_silent_downcasting", True):
|
||||||
table.df.infer_objects(copy=False)
|
table.df.infer_objects(copy=False)
|
||||||
table.df.replace('', np.nan, inplace=True)
|
table.df = table.df.replace('', np.nan).infer_objects(copy=False)
|
||||||
table.df.dropna(inplace=True, how="all")
|
table.df.dropna(inplace=True, how="all")
|
||||||
table.df.dropna(inplace=True, axis="columns", how="all")
|
table.df.dropna(inplace=True, axis="columns", how="all")
|
||||||
table.df.replace(np.nan, '', inplace=True)
|
table.df = table.df.replace(np.nan, '').infer_objects(copy=False)
|
||||||
|
|
||||||
if not table.df.empty:
|
if not table.df.empty:
|
||||||
#fprint("\nTable " + str(n))
|
#fprint("\nTable " + str(n))
|
||||||
# Extract table names
|
# Extract table names
|
||||||
table_start = table.cells[0][0].lt[1] # Read top-left cell's top-left coordinate
|
table_start = table.cells[0][0].lt[1] # Read top-left cell's top-left coordinate
|
||||||
#fprint(table_start)
|
#fprint(table_start)
|
||||||
ymin = table_start
|
|
||||||
ymax = table_start + 10
|
|
||||||
if pagenum != table.page - 1:
|
|
||||||
pagenum = table.page - 1
|
|
||||||
page = reader.pages[table.page - 1]
|
|
||||||
parts = []
|
|
||||||
def visitor_body(text, cm, tm, fontDict, fontSize):
|
|
||||||
y = tm[5]
|
|
||||||
if y > ymin and y < ymax:
|
|
||||||
parts.append(text)
|
|
||||||
|
|
||||||
page.extract_text(visitor_text=visitor_body)
|
|
||||||
text_body = "".join(parts).strip('\n')
|
|
||||||
if len(text_body) == 0:
|
|
||||||
text_body = str(n)
|
|
||||||
#fprint(text_body)
|
|
||||||
|
|
||||||
|
text_body = extract_table_name(table_start, table.page, reader, dstype, n)
|
||||||
|
|
||||||
table_list[text_body] = table.df
|
table_list[text_body] = table.df
|
||||||
|
if dstype == "Alphawire":
|
||||||
|
table_list_raw[text_body] = table
|
||||||
|
|
||||||
#table.to_html("table" + str(n) + ".html")
|
#table.to_html("table" + str(n) + ".html")
|
||||||
|
|
||||||
#fprint(table.df)
|
#fprint(table.df)
|
||||||
@@ -71,7 +109,7 @@ def parse(filename, output_dir, partnum, dstype):
|
|||||||
|
|
||||||
#tables.export(output_dir + '/techdata.json', f='json')
|
#tables.export(output_dir + '/techdata.json', f='json')
|
||||||
|
|
||||||
# fprint(table_list)
|
#fprint(table_list)
|
||||||
# Extract Basic details - part name & description, image, etc
|
# Extract Basic details - part name & description, image, etc
|
||||||
|
|
||||||
reader = PdfReader(filename)
|
reader = PdfReader(filename)
|
||||||
@@ -100,24 +138,32 @@ def parse(filename, output_dir, partnum, dstype):
|
|||||||
tables = dict()
|
tables = dict()
|
||||||
torename = dict()
|
torename = dict()
|
||||||
previous_table = ""
|
previous_table = ""
|
||||||
|
#print(table_list.keys())
|
||||||
for table_name in table_list.keys():
|
for table_name in table_list.keys():
|
||||||
# determine shape: horizontal or vertical
|
# determine shape: horizontal or vertical
|
||||||
table = table_list[table_name]
|
table = table_list[table_name]
|
||||||
rows = table.shape[0]
|
rows = table.shape[0]
|
||||||
cols = table.shape[1]
|
cols = table.shape[1]
|
||||||
vertical = None
|
vertical = None
|
||||||
|
#print(rows, cols, table_name)
|
||||||
if rows > 2 and cols == 2:
|
if rows > 2 and cols == 2:
|
||||||
vertical = True
|
vertical = True
|
||||||
elif cols == 1:
|
elif cols == 1 and rows > 1:
|
||||||
vertical = False
|
vertical = False
|
||||||
elif rows == 1:
|
elif rows == 1:
|
||||||
vertical = True
|
vertical = True
|
||||||
elif cols == 2: # and rows <= 2
|
elif cols == 2: # and rows <= 2
|
||||||
# inconsistent
|
# inconsistent
|
||||||
if table.iloc[0, 0].find(":") == len(table.iloc[0, 0]) - 1: # check if last character is ":" indicating a vertical table
|
if dstype == "Belden":
|
||||||
vertical = True
|
if table.iloc[0, 0].find(":") == len(table.iloc[0, 0]) - 1: # check if last character is ":" indicating a vertical table
|
||||||
else:
|
vertical = True
|
||||||
vertical = False
|
else:
|
||||||
|
vertical = False
|
||||||
|
elif dstype == "Alphawire":
|
||||||
|
if table.iloc[0, 0].find(")") == 1 or table.iloc[0, 0].find(")") == 2 or table.iloc[0, 0].find(":") == len(table.iloc[0, 0]) - 1: # check if last character is ":" indicating a vertical table
|
||||||
|
vertical = True
|
||||||
|
else:
|
||||||
|
vertical = False
|
||||||
|
|
||||||
elif cols > 2: # and rows <= 2
|
elif cols > 2: # and rows <= 2
|
||||||
vertical = False
|
vertical = False
|
||||||
@@ -125,9 +171,12 @@ def parse(filename, output_dir, partnum, dstype):
|
|||||||
vertical = False
|
vertical = False
|
||||||
else: # 1 column, <= 2 rows
|
else: # 1 column, <= 2 rows
|
||||||
vertical = False
|
vertical = False
|
||||||
|
#print(vertical)
|
||||||
# missing name check
|
# missing name check
|
||||||
for table_name_2 in table_list.keys():
|
for table_name_2 in table_list.keys():
|
||||||
|
if dstype == "Alphawire" and table_name_2.find("\n") >= 0:
|
||||||
|
torename[table_name_2] = table_name_2[0:table_name_2.find("\n")]
|
||||||
|
|
||||||
if table_name_2.find(table.iloc[-1, 0]) >= 0:
|
if table_name_2.find(table.iloc[-1, 0]) >= 0:
|
||||||
# Name taken from table directly above - this table does not have a name
|
# Name taken from table directly above - this table does not have a name
|
||||||
torename[table_name_2] = "Specs " + str(len(tables))
|
torename[table_name_2] = "Specs " + str(len(tables))
|
||||||
@@ -136,8 +185,12 @@ def parse(filename, output_dir, partnum, dstype):
|
|||||||
|
|
||||||
if vertical:
|
if vertical:
|
||||||
out = dict()
|
out = dict()
|
||||||
for row in table.itertuples(index=False, name=None):
|
if rows > 1:
|
||||||
out[row[0].replace("\n", " ").replace(":", "")] = row[1]
|
for row in table.itertuples(index=False, name=None):
|
||||||
|
out[row[0].replace("\n", " ").replace(":", "")] = row[1]
|
||||||
|
else:
|
||||||
|
for row in table.itertuples(index=False, name=None):
|
||||||
|
out[row[0].replace("\n", " ").replace(":", "")] = ""
|
||||||
|
|
||||||
else: # horizontal
|
else: # horizontal
|
||||||
out = dict()
|
out = dict()
|
||||||
@@ -147,9 +200,52 @@ def parse(filename, output_dir, partnum, dstype):
|
|||||||
|
|
||||||
tables[table_name] = out
|
tables[table_name] = out
|
||||||
|
|
||||||
|
# multi-page table check, Alphawire
|
||||||
|
if dstype == "Alphawire" and table_name.isdigit():
|
||||||
|
# table continues from previous page or has name on previous page
|
||||||
|
thistbl = table_list_raw[table_name]
|
||||||
|
prevtbl = table_list_raw[previous_table]
|
||||||
|
|
||||||
|
if prevtbl.cells[-1][0].lb[1] < 50 and thistbl.cells[0][0].lt[1] > 600:
|
||||||
|
# wraparound
|
||||||
|
#print("WRAP")
|
||||||
|
#print("PREV TABLE", prevtbl.df)
|
||||||
|
#print("THIS TABLE", thistbl.df)
|
||||||
|
#print("PREV TABLE CORNER", prevtbl.cells[-1][0].lb[1])
|
||||||
|
#print("THIS TABLE CORNER", thistbl.cells[0][0].lt[1])
|
||||||
|
main_key = previous_table
|
||||||
|
cont_key = table_name
|
||||||
|
#print(vertical)
|
||||||
|
if vertical == False:
|
||||||
|
main_keys = list(tables[main_key].keys())
|
||||||
|
for i, (cont_key, cont_values) in enumerate(tables[cont_key].items()):
|
||||||
|
if i < len(main_keys):
|
||||||
|
#print(tables[main_key][main_keys[i]])
|
||||||
|
tables[main_key][main_keys[i]] = (tuple(tables[main_key][main_keys[i]]) + (cont_key,) + cont_values)
|
||||||
|
|
||||||
|
del tables[table_name]
|
||||||
|
|
||||||
|
else:
|
||||||
|
#print(tables[cont_key].keys())
|
||||||
|
for key in tables[cont_key].keys():
|
||||||
|
#print(main_key, key, cont_key, key)
|
||||||
|
tables[main_key][key] = tables[cont_key][key]
|
||||||
|
del tables[table_name]
|
||||||
|
|
||||||
|
elif thistbl.cells[0][0].lt[1] > 600:
|
||||||
|
# name on previous page (grrrr)
|
||||||
|
#print("NAMEABOVE")
|
||||||
|
#print("PREV TABLE", prevtbl.df)
|
||||||
|
#print("THIS TABLE", thistbl.df)
|
||||||
|
#print("PREV TABLE CORNER", prevtbl.cells[-1][0].lb[1])
|
||||||
|
#print("THIS TABLE CORNER", thistbl.cells[0][0].lt[1])
|
||||||
|
name = extract_table_name(50, prevtbl.page,reader,dstype,table_name).strip("\n").strip()
|
||||||
|
#print("FOUND NAME:", name)
|
||||||
|
torename[table_name] = name
|
||||||
|
|
||||||
|
|
||||||
# multi-page table check
|
|
||||||
|
# multi-page table check, Belden
|
||||||
if dstype == "Belden":
|
if dstype == "Belden":
|
||||||
if table_name.isdigit() and len(tables) > 1:
|
if table_name.isdigit() and len(tables) > 1:
|
||||||
#fprint(table_name)
|
#fprint(table_name)
|
||||||
@@ -177,7 +273,7 @@ def parse(filename, output_dir, partnum, dstype):
|
|||||||
|
|
||||||
previous_table = table_name
|
previous_table = table_name
|
||||||
|
|
||||||
# remove renamed tables
|
# remove & rename tables
|
||||||
for table_name in torename.keys():
|
for table_name in torename.keys():
|
||||||
tables[torename[table_name]] = tables[table_name]
|
tables[torename[table_name]] = tables[table_name]
|
||||||
del tables[table_name]
|
del tables[table_name]
|
||||||
@@ -211,11 +307,20 @@ def parse(filename, output_dir, partnum, dstype):
|
|||||||
|
|
||||||
#print(output_table)
|
#print(output_table)
|
||||||
|
|
||||||
run_cmd("rm \"" + output_dir + "\"/*.json") # not reliable!
|
#run_cmd("rm \"" + output_dir + "\"/*.json") # not reliable!
|
||||||
with open(output_dir + "/" + output_table["searchspecs"]["id"] + ".json", 'w') as json_file:
|
pattern = os.path.join(output_dir, '*.json')
|
||||||
|
json_files = glob.glob(pattern)
|
||||||
|
for file_path in json_files:
|
||||||
|
os.remove(file_path)
|
||||||
|
#print(f"Deleted {file_path}")
|
||||||
|
with open(output_dir + "/search_" + output_table["searchspecs"]["id"] + ".json", 'w') as json_file:
|
||||||
json.dump(output_table["searchspecs"], json_file)
|
json.dump(output_table["searchspecs"], json_file)
|
||||||
touch(output_dir + "/parsed")
|
with open(output_dir + "/specs_" + output_table["partnum"] + ".json", 'w') as json_file:
|
||||||
return output_table
|
json.dump(output_table["fullspecs"], json_file)
|
||||||
|
|
||||||
|
#print(json.dumps(output_table, indent=2))
|
||||||
|
touch(output_dir + "/parsed") # mark as parsed
|
||||||
|
return True
|
||||||
|
|
||||||
|
|
||||||
def flatten(tables):
|
def flatten(tables):
|
||||||
@@ -245,7 +350,6 @@ def flatten(tables):
|
|||||||
#print("\"" + keyname + "\":", "\"" + str(out[fullkeyname]) + "\",")
|
#print("\"" + keyname + "\":", "\"" + str(out[fullkeyname]) + "\",")
|
||||||
elif len(tables[table][key]) == 1:
|
elif len(tables[table][key]) == 1:
|
||||||
out[fullkeyname] = convert_to_number(tables[table][key][0])
|
out[fullkeyname] = convert_to_number(tables[table][key][0])
|
||||||
|
|
||||||
#print("\"" + keyname + "\":", "\"" + str(out[fullkeyname]) + "\",")
|
#print("\"" + keyname + "\":", "\"" + str(out[fullkeyname]) + "\",")
|
||||||
|
|
||||||
# if the item has at least two commas in it, split it
|
# if the item has at least two commas in it, split it
|
||||||
@@ -256,7 +360,7 @@ def flatten(tables):
|
|||||||
# if the item has at least two commas in it, split it
|
# if the item has at least two commas in it, split it
|
||||||
if tables[table][key].count(',') > 0:
|
if tables[table][key].count(',') > 0:
|
||||||
out[fullkeyname] = list(map(lambda x: x.strip(), tables[table][key].split(",")))
|
out[fullkeyname] = list(map(lambda x: x.strip(), tables[table][key].split(",")))
|
||||||
print("\"" + keyname + "\":", "\"" + str(out[fullkeyname]) + "\",")
|
#print("\"" + keyname + "\":", "\"" + str(out[fullkeyname]) + "\",")
|
||||||
|
|
||||||
|
|
||||||
#print("}")
|
#print("}")
|
||||||
@@ -265,4 +369,4 @@ def flatten(tables):
|
|||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
if __name__ == "__main__":
|
||||||
parse("test2.pdf", "cables/10GXS13", "10GXS13")
|
print(parse("cables/3050/datasheet.pdf", "cables/3050", "3050", "Alphawire"))
|
||||||
+8
-1
@@ -1,5 +1,5 @@
|
|||||||
# Runtime
|
# Runtime
|
||||||
camelot-py[base]
|
camelot-py
|
||||||
opencv-python
|
opencv-python
|
||||||
pypdf2==2.12.1
|
pypdf2==2.12.1
|
||||||
alive-progress
|
alive-progress
|
||||||
@@ -15,6 +15,13 @@ websockets
|
|||||||
numpy
|
numpy
|
||||||
scipy
|
scipy
|
||||||
ipywidgets
|
ipywidgets
|
||||||
|
pandas
|
||||||
|
pyarrow
|
||||||
|
ghostscript
|
||||||
|
pyzbar
|
||||||
|
|
||||||
|
|
||||||
# Development
|
# Development
|
||||||
matplotlib
|
matplotlib
|
||||||
|
#cx_Freeze # uncomment if building label generator app
|
||||||
|
# requires windows 10 SDK, visual C++, etc
|
||||||
@@ -0,0 +1,31 @@
|
|||||||
|
import sys
|
||||||
|
from cx_Freeze import setup, Executable
|
||||||
|
|
||||||
|
debug = True
|
||||||
|
debug = not debug
|
||||||
|
# Dependencies are automatically detected, but it might need fine tuning.
|
||||||
|
# "packages": ["os"] is used as example only
|
||||||
|
|
||||||
|
import opcode
|
||||||
|
import os
|
||||||
|
import distutils
|
||||||
|
#distutils_path = os.path.join(os.path.dirname(opcode.__file__), 'distutils')
|
||||||
|
build_exe_options = {"include_msvcr": True, "packages": ["camelot", "setuptools"], "optimize": 0, "silent": True, "include_files": ["gs10030w64.exe"], "excludes": ["scipy", "torch"]}
|
||||||
|
|
||||||
|
# base="Win32GUI" should be used only for Windows GUI app
|
||||||
|
base = "console"
|
||||||
|
#if sys.platform == "win32" and not debug:
|
||||||
|
# base = "Win32GUI"
|
||||||
|
|
||||||
|
if sys.platform == "linux" or sys.platform == "linux2" or sys.platform == "darwin":
|
||||||
|
name = "jukebox-labelgen"
|
||||||
|
else:
|
||||||
|
name = "jukebox-labelgen.exe"
|
||||||
|
|
||||||
|
setup(
|
||||||
|
name="IP Pigeon",
|
||||||
|
version="0.2.4",
|
||||||
|
description="IP Pigeon client application",
|
||||||
|
options={"build_exe": build_exe_options},
|
||||||
|
executables=[Executable("label_generator.py", base=base, uac_admin=False, target_name=name)],
|
||||||
|
)
|
||||||
+56
-19
@@ -216,35 +216,65 @@ def normalize_degree(theta):
|
|||||||
# Return angle
|
# Return angle
|
||||||
return normalized_theta
|
return normalized_theta
|
||||||
|
|
||||||
def get_joints_from_xyz_rel(x, y, z, initial_guess = (math.pi/2, math.pi/2, 0), limbs=(.422864, .359041, .092124)):
|
|
||||||
# Get polar coordinates of x,y pair
|
|
||||||
r, theta = cartesian_to_polar(x, y)
|
|
||||||
|
|
||||||
# Get length of each limb
|
def get_joints_from_xyz_rel(x, y, z, rx=0, ry=-math.pi/2, rz=0, initial_guess = (math.pi/2, math.pi/2, 0)):
|
||||||
l1, l2, l3 = limbs
|
# Get limbs and offsets
|
||||||
|
offset_x, offset_y, offset_z = (0, 0, 0.14) # Tool offset
|
||||||
|
l_bs, l1, l2, l3, l_wt = (0.1333, .425, .39225, .1267, .0997) # Limb lengths
|
||||||
|
#l3=0.15
|
||||||
|
|
||||||
|
# Calculate base angle and r relative to shoulder joint
|
||||||
|
def calculate_theta(x, y, a):
|
||||||
|
# Calculate if we need the + or - in our equations
|
||||||
|
if (x>-a and y>=0) or (x>a and y<0):
|
||||||
|
flip = 1
|
||||||
|
elif (x<-a and y>=0) or (x<a and y<0):
|
||||||
|
flip = -1
|
||||||
|
else:
|
||||||
|
# Critical section (x=a, or x=-a). Infinite slope
|
||||||
|
# Return 0 or 180 depending on sign
|
||||||
|
return math.atan2(y, 0)
|
||||||
|
|
||||||
|
# Calculate tangent line y = mx + b
|
||||||
|
m = (x*y - math.sqrt(x*x*y*y-(x*x-a*a)*(y*y-a*a)))/(x*x-a*a)
|
||||||
|
b = flip * a * math.sqrt(1+m*m)
|
||||||
|
|
||||||
|
# Calculate equivalent tangent point on circle
|
||||||
|
cx = (-flip*m*b)/(1+m*m)
|
||||||
|
cy = m*cx + flip*b
|
||||||
|
|
||||||
|
# Calculate base angle, make angle negative if flip=1
|
||||||
|
theta = math.atan2(cy, cx) + (-math.pi if flip==1 else 0)
|
||||||
|
|
||||||
|
return theta
|
||||||
|
|
||||||
|
base_theta = calculate_theta(x, y, l_bs)
|
||||||
|
cx, cy = l_bs*math.cos(base_theta), l_bs*math.sin(l_bs)
|
||||||
|
r = math.sqrt((x-cx)**2 + (y-cy)**2)
|
||||||
|
|
||||||
|
|
||||||
# Formulas to find out joint positions for (r, z)
|
# Formulas to find out joint positions for (r, z)
|
||||||
def inv_kin_r_z(p):
|
def inv_kin_r_z(p):
|
||||||
a, b, c = p
|
a, b, c = p
|
||||||
|
|
||||||
return (l1*math.cos(a) + l2*math.cos(a-b) + l3*math.cos(a-b-c) - r, # r
|
return (l1*math.cos(a) + l2*math.cos(a-b) + l3*math.cos(a-b-c) - r, # r
|
||||||
l1*math.sin(a) + l2*math.sin(a-b) - l3*math.sin(a-b-c) - z, # z
|
l1*math.sin(a) + l2*math.sin(a-b) - l3*math.sin(a-b-c) - (l3*math.sin(a-b-c)) - (z + offset_z), # z
|
||||||
a-b-c) # wrist angle
|
a-b-c) # wrist angle
|
||||||
|
|
||||||
|
|
||||||
# Normalize angles
|
# Normalize angles
|
||||||
base, shoulder, elbow, wrist = [normalize_degree(deg) for deg in [theta, *fsolve(inv_kin_r_z, initial_guess)]]
|
base, shoulder, elbow, wrist1 = [normalize_degree(deg) for deg in [base_theta, *fsolve(inv_kin_r_z, initial_guess)]]
|
||||||
|
|
||||||
# Return result
|
# Return result
|
||||||
return base, shoulder, elbow, wrist
|
return base, shoulder, elbow, wrist1, ry, rz
|
||||||
|
|
||||||
def get_joints_from_xyz_abs(x, y, z):
|
def get_joints_from_xyz_abs(x, y, z, rx=0, ry=-math.pi/2, rz=math.pi/2):
|
||||||
joints = get_joints_from_xyz_rel(x, y, z)
|
joints = get_joints_from_xyz_rel(x, y, z, rx, ry, rz)
|
||||||
|
|
||||||
# Joint offsets
|
# Joint offsets
|
||||||
# Base, Shoulder, Elbow, Wrist
|
# Base, Shoulder, Elbow, Wrist
|
||||||
inverse = [1, -1, 1, 1]
|
inverse = [1, -1, 1, 1, 1, 1]
|
||||||
offsets = [0, 0, 0, -math.pi/2]
|
offsets = [-math.pi/2, 0, 0, -math.pi/2, 0, 0]
|
||||||
|
|
||||||
# Return adjusted joint positions
|
# Return adjusted joint positions
|
||||||
return [o+j*i for j, o, i in zip(joints, offsets, inverse)]
|
return [o+j*i for j, o, i in zip(joints, offsets, inverse)]
|
||||||
@@ -262,7 +292,7 @@ if __name__ == "__main__":
|
|||||||
0.40002172976662786,
|
0.40002172976662786,
|
||||||
0,
|
0,
|
||||||
-3.14152741295329,
|
-3.14152741295329,
|
||||||
0]
|
math.radians(62)]
|
||||||
|
|
||||||
# time.sleep(.5)
|
# time.sleep(.5)
|
||||||
|
|
||||||
@@ -290,14 +320,21 @@ if __name__ == "__main__":
|
|||||||
# set_pos_abs(*home_pose)
|
# set_pos_abs(*home_pose)
|
||||||
|
|
||||||
|
|
||||||
angles = get_joints_from_xyz_abs(0.3, 0.3, 0.3)
|
|
||||||
rob.movej([*angles, *rob.getj()[4:]], acc=1, vel=1)
|
|
||||||
|
|
||||||
angles = get_joints_from_xyz_abs(-0.3, -0.3, 0.7)
|
angles = get_joints_from_xyz_abs(-0.7, 0, 0)
|
||||||
rob.movej([*angles, *rob.getj()[4:]], acc=1, vel=1)
|
rob.movej(angles, acc=2, vel=2)
|
||||||
|
|
||||||
|
# joints = []
|
||||||
|
# for i in np.linspace(-0.3, -0.7, 50):
|
||||||
|
# joints.append(get_joints_from_xyz_abs(i, 0, 0))
|
||||||
|
# rob.movejs(joints, acc=2, vel=2)
|
||||||
|
|
||||||
|
# time.sleep(5)
|
||||||
|
|
||||||
|
|
||||||
|
# angles = get_joints_from_xyz_abs(0, -0.6, 0)
|
||||||
|
# rob.movej(angles, acc=2, vel=2)
|
||||||
|
|
||||||
angles = get_joints_from_xyz_abs(-0.3, 0.4, 0.2)
|
|
||||||
rob.movej([*angles, *rob.getj()[4:]], acc=1, vel=1)
|
|
||||||
|
|
||||||
|
|
||||||
# set_pos_abs(*p1)
|
# set_pos_abs(*p1)
|
||||||
|
|||||||
@@ -70,7 +70,7 @@ def fprint(msg, settings = None, sendqueue = None):
|
|||||||
except Exception as e:
|
except Exception as e:
|
||||||
try:
|
try:
|
||||||
print('[????:' + frm.function + ']:', str(msg))
|
print('[????:' + frm.function + ']:', str(msg))
|
||||||
print('[util:fprint]: ' + str(e))
|
#print('[util:fprint]: ' + str(e))
|
||||||
except:
|
except:
|
||||||
print('[????]:', str(msg))
|
print('[????]:', str(msg))
|
||||||
|
|
||||||
|
|||||||
Reference in new issue
Block a user