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@@ -80,6 +80,9 @@ def extractCount(extract_dict,page_attachments,web_source_name):
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dict_pack = _extract.get("prem",{})
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extract_count = 0
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list_code = _extract.get("code",[])
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+ word_count = _extract.get("word_count",{})
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+ if word_count.get("正文",0)>500:
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+ extract_count += 3
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if len(list_code)>0:
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project_code = list_code[0]
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else:
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@@ -102,10 +105,12 @@ def extractCount(extract_dict,page_attachments,web_source_name):
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if _role[0]=="tenderee":
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tenderee = _role[1]
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if _role[0]=="win_tenderer":
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+ if _role[1] is not None and _role[1]!="":
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+ extract_count += 2
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if win_tenderer=="":
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win_tenderer = _role[1]
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if _role[2]!='' and float(_role[2])>0:
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- extract_count += 1
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+ extract_count += 2
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if win_bid_price=="":
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win_bid_price = str(float(_role[2]))
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if _role[0]=="agency":
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@@ -118,15 +123,18 @@ def extractCount(extract_dict,page_attachments,web_source_name):
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if _role.get("role_name")=="tenderee":
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tenderee = _role["role_text"]
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if _role.get("role_name")=="win_tenderer":
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+ if _role["role_text"] is not None and _role["role_text"]!="":
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+ extract_count += 2
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if win_tenderer=="":
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win_tenderer = _role["role_text"]
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if "role_money" in _role:
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if str(_role["role_money"]["money"])!='' and float(_role["role_money"]["money"])>0:
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- extract_count += 1
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+ extract_count += 2
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if win_bid_price=="":
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win_bid_price = str(float(_role["role_money"]["money"]))
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if _role["role_name"]=="agency":
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agency = _role["role_text"]
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+
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linklist = _role.get("linklist",[])
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for link in linklist:
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for l in link:
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@@ -504,7 +512,7 @@ def predict(doc_id,text,title="",page_time="",web_source_no='',web_source_name="
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return _extract_json#, list_articles[0].content, get_ent_context(list_sentences, list_entitys)
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-def test(name,content):
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+def test1(name,content):
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user = {
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"content": content,
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"id":name
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luojiehua