#!/usr/bin/env python3 # Parse Belden (100%) & Alphawire (75%) catalog techdata datasheets import pandas as pd from PyPDF2 import PdfReader import camelot import numpy as np from PIL import Image import io import json from util import fprint import uuid from util import run_cmd from util import win32 import os import glob import sys def touch(path): with open(path, 'a'): 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): tables = [] # Extract table data try: 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) n = 0 #pagenum = 0 reader = PdfReader(filename) page = reader.pages[0] table_list = {} table_list_raw = {} pd.set_option('future.no_silent_downcasting', True) for table in tables: #with pd.options.context("future.no_silent_downcasting", True): table.df.infer_objects(copy=False) table.df = table.df.replace('', np.nan).infer_objects(copy=False) table.df.dropna(inplace=True, how="all") table.df.dropna(inplace=True, axis="columns", how="all") table.df = table.df.replace(np.nan, '').infer_objects(copy=False) if not table.df.empty: #fprint("\nTable " + str(n)) # Extract table names table_start = table.cells[0][0].lt[1] # Read top-left cell's top-left coordinate #fprint(table_start) text_body = extract_table_name(table_start, table.page, reader, dstype, n) table_list[text_body] = table.df if dstype == "Alphawire": table_list_raw[text_body] = table #table.to_html("table" + str(n) + ".html") #fprint(table.df) #camelot.plot(table, kind='grid').savefig("test" + str(n) + ".png") n=n+1 #camelot.plot(tables[0], kind='grid').savefig("test.png") #tables.export(output_dir + '/techdata.json', f='json') #fprint(table_list) # Extract Basic details - part name & description, image, etc reader = PdfReader(filename) page = reader.pages[0] count = 0 skip = False for image_file_object in page.images: if image_file_object.name == "img0.png" and skip == False: #fprint(Image.open(io.BytesIO(image_file_object.data)).mode) if Image.open(io.BytesIO(image_file_object.data)).mode == "P": skip = True continue with open(output_dir + "/brand.png", "wb") as fp: fp.write(image_file_object.data) if Image.open(io.BytesIO(image_file_object.data)).size == (430, 430): with open(output_dir + "/part.png", "wb") as fp: fp.write(image_file_object.data) if skip: for image_file_object in page.images: if image_file_object.name == "img1.png": with open(output_dir + "/brand.png", "wb") as fp: fp.write(image_file_object.data) count += 1 # Table parsing and reordring tables = dict() torename = dict() previous_table = "" #print(table_list.keys()) for table_name in table_list.keys(): # determine shape: horizontal or vertical table = table_list[table_name] rows = table.shape[0] cols = table.shape[1] vertical = None #print(rows, cols, table_name) if rows > 2 and cols == 2: vertical = True elif cols == 1 and rows > 1: vertical = False elif rows == 1: vertical = True elif cols == 2: # and rows <= 2 # inconsistent if dstype == "Belden": if 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 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 vertical = False elif rows > 2 and cols > 2: # big table vertical = False else: # 1 column, <= 2 rows vertical = False #print(vertical) # missing name check 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: # Name taken from table directly above - this table does not have a name torename[table_name_2] = "Specs " + str(len(tables)) #table_list["Specs " + str(len(tables))] = table_list[table_name_2] # rename table to arbitrary altername name break if vertical: out = dict() if rows > 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 out = dict() for col in table.columns: col_data = tuple(table[col]) out[col_data[0].replace("\n", " ")] = col_data[1:] 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, Belden if dstype == "Belden": if table_name.isdigit() and len(tables) > 1: #fprint(table_name) #fprint(previous_table) main_key = previous_table cont_key = table_name #fprint(tables) 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): #fprint(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: for key in tables[cont_key].keys(): tables[main_key][key] = tables[cont_key][key] del tables[table_name] previous_table = table_name # remove & rename tables for table_name in torename.keys(): tables[torename[table_name]] = tables[table_name] del tables[table_name] # remove multi-line values that occasionally squeak through def replace_newlines_in_dict(d): for key, value in d.items(): if isinstance(value, str): # Replace \n with " " if the value is a string d[key] = value.replace('\n', ' ') elif isinstance(value, dict): # Recursively call the function if the value is another dictionary replace_newlines_in_dict(value) return d tables = replace_newlines_in_dict(tables) # summary output_table = dict() output_table["partnum"] = partnum id = str(uuid.uuid4()) output_table["id"] = id #output_table["position"] = id #output_table["brand"] = brand output_table["fullspecs"] = tables output_table["searchspecs"] = {"partnum": partnum, **flatten(tables)} output_table["searchspecs"]["id"] = id #print(output_table) #run_cmd("rm \"" + output_dir + "\"/*.json") # not reliable! 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) with open(output_dir + "/specs_" + output_table["partnum"] + ".json", 'w') as json_file: 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 convert_to_number(s): try: # First, try converting to an integer. return int(s) except ValueError: # If that fails, try converting to a float. try: return float(s) except ValueError: # If it fails again, return the original string. return s out = dict() #print("{") for table in tables.keys(): for key in tables[table].keys(): if len(key) < 64: keyname = key else: keyname = key[0:64] fullkeyname = (table + ": " + keyname).replace(".","") if type(tables[table][key]) is not tuple: out[fullkeyname] = convert_to_number(tables[table][key]) #print("\"" + keyname + "\":", "\"" + str(out[fullkeyname]) + "\",") elif len(tables[table][key]) == 1: out[fullkeyname] = convert_to_number(tables[table][key][0]) #print("\"" + keyname + "\":", "\"" + str(out[fullkeyname]) + "\",") # if the item has at least two commas in it, split it if tables[table][key].count(',') > 0: out[fullkeyname] = list(map(lambda x: x.strip(), tables[table][key].split(","))) #print("\"" + keyname + "\":", "\"" + str(out[fullkeyname]) + "\",") # if the item has at least two commas in it, split it if tables[table][key].count(',') > 0: out[fullkeyname] = list(map(lambda x: x.strip(), tables[table][key].split(","))) #print("\"" + keyname + "\":", "\"" + str(out[fullkeyname]) + "\",") #print("}") return out if __name__ == "__main__": print(parse("cables/3050/datasheet.pdf", "cables/3050", "3050", "Alphawire"))