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Upload n_mongo.py

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  1. n_mongo.py +71 -42
n_mongo.py CHANGED
@@ -25,26 +25,26 @@ data = doc["data"]
25
 
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  data.append({
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  'stream_selected': 0,
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- 'label': 'us.anthropic.claude-3-7-sonnet-20250219-v1:0',
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- 'value': 'us.anthropic.claude-3-7-sonnet-20250219-v1:0',
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  'wechat_selected': 0,
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  'wechat_label': 0,
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  'selected': 0,
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  'max_tokens': 4000,
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- 'is_think': 0,
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  'web_label': 0,
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  'stream_label': 0
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  })
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  data.append({
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  'stream_selected': 0,
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- 'label': 'us.anthropic.claude-sonnet-4-20250514-v1:0',
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- 'value': 'us.anthropic.claude-sonnet-4-20250514-v1:0',
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  'wechat_selected': 0,
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  'wechat_label': 0,
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  'selected': 0,
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  'max_tokens': 4000,
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- 'is_think': 0,
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  'web_label': 0,
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  'stream_label': 0
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  })
@@ -52,8 +52,8 @@ data.append({
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  data.append({
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  'stream_selected': 0,
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- 'label': 'qwen-turbo',
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- 'value': 'qwen-turbo',
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  'wechat_selected': 0,
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  'wechat_label': 0,
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  'selected': 0,
@@ -63,51 +63,80 @@ data.append({
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  'stream_label': 0
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  })
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- # # 2. 在本地 dict 里插入/修改
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- # data["us.anthropic.claude-3-7-sonnet-20250219-v1:0"] = {
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- # "completion_price": 0.0006,
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- # "prompt_price": 0.003,
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- # "currency": "$"
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- # }
 
 
 
 
 
 
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- # # 2. 在本地 dict 里插入/修改
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- # data["us.anthropic.claude-sonnet-4-20250514-v1:0"] = {
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- # "completion_price": 0.0006,
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- # "prompt_price": 0.003,
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- # "currency": "$"
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- # }
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- # # 2. 在本地 dict 里插入/修改
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- # data["qwen-turbo"] = {
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- # "completion_price": 0.0006,
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- # "prompt_price": 0.0003,
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- # "currency": "￥"
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- # }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # 3. 一次性把整个 data 写回去
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  result = collection.update_one(
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- {"name": "txt2txt_price_config"},
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  {"$set": {"data": data}}
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  )
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  print(f"matched={result.matched_count}, modified={result.modified_count}")
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- # service_name = "us.anthropic.claude-3-7-sonnet-20250219-v1:0"
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- # service_data = {
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- # "completion_price": 0.015,
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- # "prompt_price": 0.003,
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- # "currency": "$"
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- # }
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-
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- # result = collection.update_one(
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- # {"name": "txt2txt_price_config"},
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- # {"$set": {f"data.{service_name}": service_data}}
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- # )
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-
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- # print(f"matched={result.matched_count}, modified={result.modified_count}")
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-
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  query = {"name": "txt2txt_config"}
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  projection = {"_id": 0, "data": 1}
@@ -119,7 +148,7 @@ if doc:
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  data_value = doc.get("data")
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  print(data_value)
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  else:
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- print("未找到 name 等于 txt2txt_price_config 的记录")
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  # 查询单条文档
 
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  data.append({
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  'stream_selected': 0,
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+ 'label': 'gpt-5',
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+ 'value': 'gpt-5',
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  'wechat_selected': 0,
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  'wechat_label': 0,
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  'selected': 0,
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  'max_tokens': 4000,
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+ 'is_think': 1,
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  'web_label': 0,
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  'stream_label': 0
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  })
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  data.append({
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  'stream_selected': 0,
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+ 'label': 'gpt-5-chat',
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+ 'value': 'gpt-5-chat',
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  'wechat_selected': 0,
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  'wechat_label': 0,
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  'selected': 0,
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  'max_tokens': 4000,
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+ 'is_think': 1,
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  'web_label': 0,
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  'stream_label': 0
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  })
 
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  data.append({
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  'stream_selected': 0,
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+ 'label': 'gpt-5-nano',
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+ 'value': 'gpt-5-nano',
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  'wechat_selected': 0,
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  'wechat_label': 0,
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  'selected': 0,
 
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  'stream_label': 0
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  })
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+ data.append({
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+ 'stream_selected': 0,
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+ 'label': 'gpt-5-mini',
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+ 'value': 'gpt-5-mini',
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+ 'wechat_selected': 0,
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+ 'wechat_label': 0,
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+ 'selected': 0,
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+ 'max_tokens': 4000,
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+ 'is_think': 1,
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+ 'web_label': 0,
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+ 'stream_label': 0
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+ })
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+ data.append({
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+ 'stream_selected': 0,
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+ 'label': 'gpt-4.1',
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+ 'value': 'gpt-4.1',
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+ 'wechat_selected': 0,
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+ 'wechat_label': 0,
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+ 'selected': 0,
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+ 'max_tokens': 4000,
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+ 'is_think': 0,
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+ 'web_label': 0,
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+ 'stream_label': 0
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+ })
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+ data.append({
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+ 'stream_selected': 0,
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+ 'label': 'gpt-4.1-mini',
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+ 'value': 'gpt-4.1-mini',
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+ 'wechat_selected': 0,
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+ 'wechat_label': 0,
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+ 'selected': 0,
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+ 'max_tokens': 4000,
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+ 'is_think': 0,
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+ 'web_label': 0,
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+ 'stream_label': 0
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+ })
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+ data.append({
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+ 'stream_selected': 0,
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+ 'label': 'gpt-4.1-nano',
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+ 'value': 'gpt-4.1-nano',
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+ 'wechat_selected': 0,
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+ 'wechat_label': 0,
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+ 'selected': 0,
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+ 'max_tokens': 4000,
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+ 'is_think': 0,
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+ 'web_label': 0,
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+ 'stream_label': 0
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+ })
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+
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+ data.append({
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+ 'stream_selected': 0,
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+ 'label': 'o3',
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+ 'value': 'o3',
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+ 'wechat_selected': 0,
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+ 'wechat_label': 0,
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+ 'selected': 0,
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+ 'max_tokens': 4000,
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+ 'is_think': 1,
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+ 'web_label': 0,
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+ 'stream_label': 0
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+ })
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133
  # 3. 一次性把整个 data 写回去
134
  result = collection.update_one(
135
+ {"name": "txt2txt_config"},
136
  {"$set": {"data": data}}
137
  )
138
  print(f"matched={result.matched_count}, modified={result.modified_count}")
139
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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141
  query = {"name": "txt2txt_config"}
142
  projection = {"_id": 0, "data": 1}
 
148
  data_value = doc.get("data")
149
  print(data_value)
150
  else:
151
+ print("未找到 name 等于 txt2txt_config 的记录")
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  # 查询单条文档