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import_data/qavanin480_dataset.py
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171
import_data/qavanin480_dataset.py
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from decimal import Decimal
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import requests
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import json
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import os
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TOKEN = 'eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE3MTg0NTE3MTUsImp0aSI6InNWaDljNkdlRWdEK0IzM1N2UHNzbXkybkxUK0tWWnBjIiwiaXNzIjoiaHR0cHM6XC9cL2NwLnRhdmFzaS5pciIsImV4cCI6MTcxOTc1MTcxNCwiYXVkIjoiaHR0cHM6XC9cL2NwLnRhdmFzaS5pciIsImRhdGEiOnsiaWQiOjQwLCJmaXJzdF9uYW1lIjoiXHUwNjM5XHUwNjQ1XHUwNjI3XHUwNjMxIiwibGFzdF9uYW1lIjoiXHUwNjJjXHUwNjQ4XHUwNmE5XHUwNjI3XHUwNjMxIiwiZW1haWwiOiJham9rYXI5MUB5YWhvby5jb20iLCJ1c2VybmFtZSI6ImFqb2thciIsInVzZXJfbGV2ZWwiOjF9fQ.frkLaR1HYyfZ8sFhLtiuEZaBPwDPWKSxKDQpql6aOZc'
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ACCEPT = "application/json"
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HEADERS = {"Authorization": TOKEN, "Accept": ACCEPT}
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url = "https://api.tavasi.ir/repo/dataset/multi/add/qasection/ner"
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headers = HEADERS
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address = os.getcwd()
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if 'impoert_data' in address:
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address += '/data/qavanin_dataset.txt'
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else:
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address += '/impoert_data/data/qavanin_dataset.txt'
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# باز کردن فایل متنی
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with open(address, 'r', encoding='utf-8') as file:
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input_text = file.read()
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# تبدیل متن به لیستی از خطوط
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lines = input_text.strip().split('\n')
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key = ''
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begin = -1
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end = -1
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tokenNumber = -1
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content = ''
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result_token = []
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class JSONEncoder(json.JSONEncoder):
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def default(self, obj):
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if isinstance(obj, Decimal):
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return float(obj)
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return json.JSONEncoder.default(self, obj)
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# def createIndex(content, result_token):
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# output = {
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# "content": content,
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# "domain": "پیکره قوانین 480",
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# "ref_id": "",
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# "ref_url": "",
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# "result_token": result_token,
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# }
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# # print(output)
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# # print(json.dumps(output, indent=4, ensure_ascii=False))
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# return output
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def createIndex(content, result_token):
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result_objects = [{
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"task":"ner",
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"key":"qavanin_ner",
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"label":"خروجی تیم همتا",
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"values":result_token
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} ]
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output ={
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"content": content,
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"domain": "پیکره قوانین 480",
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"ref_id": "",
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"ref_url": "",
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"result_objects": result_objects,
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}
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# print(output)
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# print(json.dumps(output, indent=4, ensure_ascii=False))
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return output
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def appendResultToken(text, key, begin, tokenNumber, result_token):
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end = -1
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# if key == 'HALFREFERENCE' :
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# key = 'H_REF'
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# elif key == 'REFERENCE' :
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# key = 'REF'
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if key:
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# if key == 'org' :
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# key = 'ORG'
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# elif key == 'loc' :
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# key = 'LOC'
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# elif key == 'Facility' :
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# key = 'fac'
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# elif key == 'event' :
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# key = 'EVENT'
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# elif key == 'pro' :
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# key = 'PRO'
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# elif key == 'pers' :
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# key = 'PER'
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end = tokenNumber -1
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result_token.append({
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"begin": begin,
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"end": end,
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"result_key": key,
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"text" : text
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})
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begin = -1
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end = -1
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key = ''
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return key, begin, end, result_token
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bulk_data = []
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bulk_count = 1
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count = 0
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text = ''
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for i, line in enumerate(lines):
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print('line: ' + str(i))
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count += 1
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tokenNumber = tokenNumber + 1
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if line.strip() == '' :
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key, begin, end, result_token = appendResultToken(text, key, begin, tokenNumber, result_token)
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data = createIndex(content, result_token)
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tokenNumber = -1
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content = ''
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result_token = []
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bulk_data.append(data)
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bulk_count +=1
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if bulk_data.__len__() > 100:
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print('=' * 30 )
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print('count ' + str(count))
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payload = json.dumps(bulk_data, cls=JSONEncoder) #Works!
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response = requests.request("POST", url, headers=headers, data=payload)
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print(response)
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bulk_data = []
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bulk_count = 1
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continue
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parts = line.split()
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if len(parts) != 2:
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continue
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content += ' ' + parts[0]
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result_key = parts[1]
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if result_key.startswith('I-'):
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text += ' ' + parts[0]
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continue
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if result_key == 'O' :
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key, begin, end, result_token = appendResultToken(text, key, begin, tokenNumber, result_token)
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if result_key.startswith('B-'):
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key, begin, end, result_token = appendResultToken(text, key, begin, tokenNumber, result_token)
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text = parts[0]
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begin = tokenNumber
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end = -1
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key = result_key.replace('B-', '')
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if content != '' :
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key, begin, end, result_token = appendResultToken(text, key, begin, tokenNumber, result_token)
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data = createIndex(content, result_token)
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bulk_data.append(data)
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bulk_count +=1
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if bulk_data.__len__() > 0:
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print(bulk_count)
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payload = json.dumps(bulk_data, cls=JSONEncoder) #Works!
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response = requests.request("POST", url, headers=headers, data=payload)
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print(response.text)
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# نمایش دیکشنری خروجی به صورت JSON
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print("***************** end ")
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67
import_data/remove_html_tags.py
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67
import_data/remove_html_tags.py
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from docx import Document
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from bs4 import BeautifulSoup
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import re
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tableTag=["table","tr", "th", "tc"]
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mark1 = r'#\[#'
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mark2 = r'#\]#'
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hTag1 = r'<'
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hTag2 = r'>'
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strTable = ''
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for tag in tableTag:
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if strTable != '':
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strTable += '|'
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strTable += '('+tag+')'
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regTable = r'<(?P<slash>/)*(?P<tag>'+strTable+')(?P<class>[^>]+)*>'
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regTableReplace = r'#[#\g<slash>\g<tag>\g<class>#]#'
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def removeHtmlNoTableTag(html):
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html = re.sub(regTable, regTableReplace, html)
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soup = BeautifulSoup(html, "html.parser")
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text = soup.get_text("\n", strip=True)
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text = re.sub(mark1, hTag1, text)
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text = re.sub(mark2, hTag2, text)
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return text
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def removeHtmlTags(html, exceptionTags=[]):
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if len(exceptionTags):
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exceptTags = ''
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for tag in exceptionTags:
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if exceptTags != '':
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exceptTags += '|'
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exceptTags += '(' + tag + ')'
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reg1 = r'<(?P<slash>/)*(?P<tag>' + exceptTags + ')(?P<class>[^>]+)*>'
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html = re.sub(reg1, regTableReplace, html)
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soup = BeautifulSoup(html, "html.parser")
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text = soup.get_text("\n", strip=True)
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if len(exceptionTags):
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text = re.sub(mark1, hTag1, text)
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text = re.sub(mark2, hTag2, text)
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return text
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def read_docx(file_path):
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doc = Document(file_path)
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full_text = []
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for para in doc.paragraphs:
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full_text.append(para.text)
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return '\n'.join(full_text)
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def write_docx(text, output_path):
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doc = Document()
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for line in text.split('\n'):
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doc.add_paragraph(line)
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doc.save(output_path)
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input_path = 'qavanin.docx'
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output_path = 'output.docx'
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html_content = read_docx(input_path)
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clean_text = removeHtmlTags(html_content, exceptionTags=[])
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write_docx(clean_text, output_path)
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print("تگهای HTML با موفقیت حذف شدند و نتیجه در فایل جدید ذخیره شد.")
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105
import_data/result_objects.py
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105
import_data/result_objects.py
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import json
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import requests
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from decimal import Decimal
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TOKEN = 'eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE3MTg3ODk5OTEsImp0aSI6IlNGaWVOcWIxeEFzZ252QmtvUkxXWU9UbXR2VTNvT3R6IiwiaXNzIjoiaHR0cHM6XC9cL2NwLnRhdmFzaS5pciIsImV4cCI6MTcyMDA4OTk5MCwiYXVkIjoiaHR0cHM6XC9cL2NwLnRhdmFzaS5pciIsImRhdGEiOnsiaWQiOjEsImZpcnN0X25hbWUiOiJcdTA2MjhcdTA2MzFcdTA2NDZcdTA2MjdcdTA2NDVcdTA2NDcgXHUwNjQ2XHUwNjQ4XHUwNmNjXHUwNjMzIiwibGFzdF9uYW1lIjoiXHUwNjQxXHUwNjQ2XHUwNmNjIiwiZW1haWwiOiJkZXZAZ21haWwuY29tIiwidXNlcm5hbWUiOiJkZXYiLCJ1c2VyX2xldmVsIjoyfX0.7DzFqHLee3ZI7EnZYjy5ChtVWhT3QJvBNUbLUdPssSo'
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ACCEPT = "application/json"
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HEADERS = {"Authorization": TOKEN, "Accept": ACCEPT}
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url = "https://api.tavasi.ir/repo/dataset/multi/add/qasection/keyword"
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headers = HEADERS
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# # باز کردن فایل متنی
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# file_path = 'G:/_majles/ner_law_dataset.txt'
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# with open(file_path, 'r', encoding='utf-8') as file:
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# input_text = file.read()
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# # تبدیل متن به لیستی از خطوط
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# lines = input_text.strip().split('\n')
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file_address = './new_law_excel.xlsx'
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# output_file_address = './output/keywords_law_excel.xlsx'
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column_name = "content"
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contents = read_from_excel(file_address, column_name)
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contents_list = []
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for index, section in enumerate(contents):
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#ner_values = inference_main(model, section)
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contents_list.append(section)
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# contents_list = contents_list + section + '\n********************\n'
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new_column_name = 'content_keywords'
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key = ''
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begin = -1
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end = -1
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tokenNumber = -1
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content = ''
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result_token = []
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class JSONEncoder(json.JSONEncoder):
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def default(self, obj):
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if isinstance(obj, Decimal):
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return float(obj)
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return json.JSONEncoder.default(self, obj)
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# content : main text/content
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# results : keywords list
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def createIndex(content, extracted_keywords):
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result_objects = [{
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"task":"keyword",
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"key":"lama3-8b",
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"label":"لاما3 فارسی شده",
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"values":extracted_keywords
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} ]
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output ={
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"content": content,
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"domain": "مقررات",
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"ref_id": "",
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"ref_url": "",
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"result_objects": result_objects,
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}
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# print(output)
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# print(json.dumps(output, indent=4, ensure_ascii=False))
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return output
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bulk_data = []
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bulk_count = 1
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count = 0
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for mentry in contents_list:
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count += 1
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tokenNumber = tokenNumber + 1
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extracted_keywords = []
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data=createIndex(mentry, extracted_keywords)
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bulk_data.append(data)
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bulk_count +=1
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if bulk_data.__len__() > 10:
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print('=' * 10 )
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print('count' + str(count))
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payload = json.dumps(bulk_data, cls=JSONEncoder) #Works!
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response = requests.request("POST", url, headers=headers, data=payload)
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print(response.text)
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bulk_data = []
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bulk_count = 1
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if bulk_data.__len__() > 0:
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print(bulk_count)
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payload = json.dumps(bulk_data, cls=JSONEncoder) #Works!
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response = requests.request("POST", url, headers=headers, data=payload)
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print(response.text)
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# نمایش دیکشنری خروجی به صورت JSON
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print("***************** end ")
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97
import_data/section_topic_dataset.py
Normal file
97
import_data/section_topic_dataset.py
Normal file
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@ -0,0 +1,97 @@
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import json
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import requests
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from config_base import *
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import requests
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from bs4 import BeautifulSoup
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from html import escape
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import json
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from decimal import Decimal
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import datetime
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from config_base import *
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from general_functions import *
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from funcs import write_to_json
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# موقت
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# این برنامه موقتا بخاطر اصلاح داده اجرا شد، اگر از ابتدا انتقال داده انجام شود این بخش خودکار انجام خواهد شد
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cursor, cnxn = create_cursor()
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# Does quasi the same things as json.loads from here: https://pypi.org/project/dynamodb-json/
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class JSONEncoder(json.JSONEncoder):
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def default(self, obj):
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if isinstance(obj, Decimal):
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return float(obj)
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return json.JSONEncoder.default(self, obj)
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#نکته : برای مقررات هیچ موردی نبود که جدولی باشد
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query = '''SELECT [ID],[CODE],[CAPTION]
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FROM [Qavanin].[dbo].[lwTopic]
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'''
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cursor.execute(query)
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||||
headers = HEADERS
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||||
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t1= datetime.datetime.now()
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print("start time: " + str(t1))
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i = 0
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topic_list = []
|
||||
while 1:
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i += 1
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row = cursor.fetchone()
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||||
if not row:
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break
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topic_id = int(row.ID)
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||||
caption = str(row.CAPTION)
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||||
topic_code = str(row.CODE).strip()
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||||
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caption = normalize_content(caption)
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||||
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||||
if topic_id == 96:
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topic_id = 68,
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||||
topic_code = "426"
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caption = "آمار و سرشماری"
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if topic_id == 61:
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||||
topic_id = 60,
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||||
topic_code = "418",
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||||
caption = "بورس اوراق بهادار و اسناد خزانه "
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if topic_id == 126:
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topic_id = 149,
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||||
topic_code = "104/51",
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||||
caption = "وظایف وزارت جهاد کشاورزی"
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||||
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if topic_id == 122:
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||||
topic_id = 150,
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topic_code = "104/52",
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||||
caption = "وظایف صنایع و معادن"
|
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|
||||
if topic_id == 41:
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||||
topic_id= 185,
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||||
topic_code= "304/1",
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||||
caption= "اتومبیل های دولتی"
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||||
|
||||
topic_list.append({
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||||
"topic_id" : topic_id,
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"topic_code": topic_code,
|
||||
"caption" : caption,
|
||||
})
|
||||
cursor.close()
|
||||
cnxn.close()
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||||
|
||||
address = "./impoert_data/data/section_topic.json"
|
||||
result = write_to_json(topic_list, address)
|
||||
|
||||
if result:
|
||||
print("all done correctly!")
|
||||
else:
|
||||
print("operation failed!")
|
||||
print()
|
||||
t2= datetime.datetime.now()
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||||
print("update rows count: " + str(i))
|
||||
print("finished time: " + str(t2))
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||||
print("process time: " + str(t2-t1))
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||||
print('*********** end success ***********')
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268
import_data/test_dataset.txt
Normal file
268
import_data/test_dataset.txt
Normal file
|
|
@ -0,0 +1,268 @@
|
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بانک B-ORG
|
||||
مرکزی I-ORG
|
||||
جمهوری I-ORG
|
||||
اسلامی I-ORG
|
||||
ایران I-ORG
|
||||
موظف O
|
||||
است O
|
||||
بازپرداخت O
|
||||
تعهدات O
|
||||
ارزی O
|
||||
را O
|
||||
کسر O
|
||||
نماید. O
|
||||
|
||||
ماده B-HALFREFERENCE
|
||||
3 I-HALFREFERENCE
|
||||
به O
|
||||
سازمان B-ORG
|
||||
مدیریت I-ORG
|
||||
و I-ORG
|
||||
برنامه I-ORG
|
||||
ریزی I-ORG
|
||||
کشور I-ORG
|
||||
اجازه O
|
||||
داده O
|
||||
می O
|
||||
شود O
|
||||
به O
|
||||
منظور O
|
||||
تامین O
|
||||
هزینه O
|
||||
های O
|
||||
انجام O
|
||||
داوری O
|
||||
توسط O
|
||||
شورای O
|
||||
عالی O
|
||||
فنی O
|
||||
از O
|
||||
متقاضیان O
|
||||
داوری O
|
||||
در O
|
||||
مورد O
|
||||
طرحهای O
|
||||
عمرانی O
|
||||
هزینه O
|
||||
های O
|
||||
مربوط O
|
||||
را O
|
||||
بر O
|
||||
اساس O
|
||||
تعرفه O
|
||||
ای O
|
||||
که O
|
||||
به O
|
||||
تصویب O
|
||||
هیات O
|
||||
وزیران O
|
||||
می O
|
||||
رسد O
|
||||
اخذ O
|
||||
و O
|
||||
به O
|
||||
حساب O
|
||||
درآمد O
|
||||
عمومی O
|
||||
واریز O
|
||||
نماید. O
|
||||
|
||||
ماده B-HALFREFERENCE
|
||||
5 I-HALFREFERENCE
|
||||
عملیات O
|
||||
تامین O
|
||||
منابع O
|
||||
ارزی O
|
||||
و O
|
||||
متن O
|
||||
و O
|
||||
شرایط O
|
||||
قراردادهای O
|
||||
مالی O
|
||||
از O
|
||||
جمله O
|
||||
زمان O
|
||||
بندی O
|
||||
بازپرداخت O
|
||||
کلیه O
|
||||
قراردادهای O
|
||||
دستگاههای O
|
||||
اجرایی O
|
||||
باید O
|
||||
با O
|
||||
هماهنگی O
|
||||
بانک O
|
||||
مرکزی O
|
||||
جمهوری O
|
||||
اسلامی O
|
||||
ایران O
|
||||
صورت O
|
||||
گیرد. O
|
||||
|
||||
ماده B-HALFREFERENCE
|
||||
6 I-HALFREFERENCE
|
||||
در O
|
||||
اجرای O
|
||||
قانون B-REFERENCE
|
||||
تشویق I-REFERENCE
|
||||
و I-REFERENCE
|
||||
حمایت I-REFERENCE
|
||||
سرمایه I-REFERENCE
|
||||
گذاری I-REFERENCE
|
||||
خارجی I-REFERENCE
|
||||
مصوب O
|
||||
19 B-DATE2
|
||||
/12 I-DATE2
|
||||
/1380 I-DATE2
|
||||
به O
|
||||
منظور O
|
||||
جلب O
|
||||
سرمایه O
|
||||
گذاری O
|
||||
خارجی O
|
||||
به O
|
||||
دولت O
|
||||
اجازه O
|
||||
داده O
|
||||
می O
|
||||
شود O
|
||||
در O
|
||||
چارچوب O
|
||||
قانون B-REFERENCE
|
||||
تشویق I-REFERENCE
|
||||
و I-REFERENCE
|
||||
حمایت I-REFERENCE
|
||||
سرمایه I-REFERENCE
|
||||
گذاری I-REFERENCE
|
||||
خارجی I-REFERENCE
|
||||
مصوب O
|
||||
19 B-DATE2
|
||||
/12 I-DATE2
|
||||
/1380: I-DATE2
|
||||
اقدام O
|
||||
نماید O
|
||||
|
||||
ماده B-HALFREFERENCE
|
||||
8 I-HALFREFERENCE
|
||||
دولت O
|
||||
مکلف O
|
||||
است O
|
||||
در O
|
||||
خصوص O
|
||||
بهینه O
|
||||
سازی O
|
||||
مصرف O
|
||||
انرژی O
|
||||
به O
|
||||
کشاورزانی O
|
||||
که O
|
||||
برای O
|
||||
برقی O
|
||||
کردن O
|
||||
موتور O
|
||||
پمپ O
|
||||
چاههای O
|
||||
کشاورزی O
|
||||
خود O
|
||||
اقدام O
|
||||
می O
|
||||
نمایند O
|
||||
از O
|
||||
طریق O
|
||||
بانک O
|
||||
کشاورزی O
|
||||
تسهیلات O
|
||||
لازم O
|
||||
را O
|
||||
در O
|
||||
اختیارشان O
|
||||
قرار O
|
||||
دهد. O
|
||||
|
||||
ماده B-HALFREFERENCE
|
||||
13 I-HALFREFERENCE
|
||||
در O
|
||||
اجرای O
|
||||
بند O
|
||||
(ح) O
|
||||
ماده B-HALFREFERENCE
|
||||
(33) I-HALFREFERENCE
|
||||
قانون B-REFERENCE
|
||||
برنامه I-REFERENCE
|
||||
چهارم I-REFERENCE
|
||||
توسعه I-REFERENCE
|
||||
اقتصادی I-REFERENCE
|
||||
اجتماعی I-REFERENCE
|
||||
و I-REFERENCE
|
||||
فرهنگی I-REFERENCE
|
||||
جمهوری I-REFERENCE
|
||||
اسلامی I-REFERENCE
|
||||
ایران I-REFERENCE
|
||||
به O
|
||||
دولت O
|
||||
اجازه O
|
||||
داده O
|
||||
می O
|
||||
شود O
|
||||
به O
|
||||
پیشنهاد O
|
||||
وزیر O
|
||||
صنعت O
|
||||
معدن O
|
||||
و O
|
||||
تجارت O
|
||||
به O
|
||||
شرح O
|
||||
زیر O
|
||||
اقدام O
|
||||
نماید: O
|
||||
|
||||
1 O
|
||||
از O
|
||||
محصولات O
|
||||
خارجی O
|
||||
که O
|
||||
با O
|
||||
قیمت O
|
||||
غیرمتعارف O
|
||||
و O
|
||||
یا O
|
||||
تسهیلات O
|
||||
غیرعادی O
|
||||
به O
|
||||
کشور O
|
||||
وارد O
|
||||
می O
|
||||
شوند O
|
||||
مابه O
|
||||
التفاوت O
|
||||
اخذ O
|
||||
نماید. O
|
||||
|
||||
ماده B-HALFREFERENCE
|
||||
16 I-HALFREFERENCE
|
||||
در O
|
||||
ماده B-HALFREFERENCE
|
||||
(92) I-HALFREFERENCE
|
||||
قانون B-REFERENCE
|
||||
تنظیم I-REFERENCE
|
||||
بخشی I-REFERENCE
|
||||
از I-REFERENCE
|
||||
مقررات I-REFERENCE
|
||||
مالی I-REFERENCE
|
||||
دولت I-REFERENCE
|
||||
مصوب O
|
||||
27 B-DATE2
|
||||
/11 I-DATE2
|
||||
/1380 I-DATE2
|
||||
عبارت O
|
||||
«درآمد O
|
||||
عمومی» O
|
||||
به O
|
||||
عبارت O
|
||||
«درآمد O
|
||||
اختصاصی» O
|
||||
اصلاح O
|
||||
می O
|
||||
گردد. O
|
||||
|
||||
Loading…
Reference in New Issue
Block a user