Upload check_mogo.py
Browse files- check_mogo.py +6 -66
check_mogo.py
CHANGED
|
@@ -23,30 +23,12 @@ def set_txt2txt_price_config():
|
|
| 23 |
|
| 24 |
data = doc["data"]
|
| 25 |
|
| 26 |
-
data["
|
| 27 |
-
"completion_price": 0.
|
| 28 |
-
"prompt_price": 0.
|
| 29 |
"currency": "￥"
|
| 30 |
}
|
| 31 |
|
| 32 |
-
data["glm-4.5-air"] = {
|
| 33 |
-
"completion_price": 0.008,
|
| 34 |
-
"prompt_price": 0.0012,
|
| 35 |
-
"currency": "￥"
|
| 36 |
-
}
|
| 37 |
-
|
| 38 |
-
data["MiniMax-M2.1"] = {
|
| 39 |
-
"completion_price": 0.0084,
|
| 40 |
-
"prompt_price": 0.0021,
|
| 41 |
-
"currency": "￥"
|
| 42 |
-
}
|
| 43 |
-
|
| 44 |
-
# data["deepseek-v3.2"] = {
|
| 45 |
-
# "completion_price": 1,
|
| 46 |
-
# "prompt_price": 1,
|
| 47 |
-
# "currency": "￥"
|
| 48 |
-
# }
|
| 49 |
-
|
| 50 |
# 3. 一次性把整个 data 写回去
|
| 51 |
result = collection.update_one(
|
| 52 |
{"name": "txt2txt_price_config"},
|
|
@@ -82,22 +64,8 @@ def set_txt2txt_config():
|
|
| 82 |
|
| 83 |
data.append({
|
| 84 |
"stream_selected": 0,
|
| 85 |
-
"label": "
|
| 86 |
-
"value": "
|
| 87 |
-
"wechat_selected": 0,
|
| 88 |
-
"wechat_label": 0,
|
| 89 |
-
"selected": 0,
|
| 90 |
-
"max_tokens": 4000,
|
| 91 |
-
"is_think": 0,
|
| 92 |
-
"web_label": 0,
|
| 93 |
-
"stream_label": 0,
|
| 94 |
-
"manufacturer": "智谱"
|
| 95 |
-
})
|
| 96 |
-
|
| 97 |
-
data.append({
|
| 98 |
-
"stream_selected": 0,
|
| 99 |
-
"label": "glm-4.5-air",
|
| 100 |
-
"value": "glm-4.5-air",
|
| 101 |
"wechat_selected": 0,
|
| 102 |
"wechat_label": 0,
|
| 103 |
"selected": 0,
|
|
@@ -105,37 +73,9 @@ def set_txt2txt_config():
|
|
| 105 |
"is_think": 0,
|
| 106 |
"web_label": 0,
|
| 107 |
"stream_label": 0,
|
| 108 |
-
"manufacturer": "
|
| 109 |
})
|
| 110 |
|
| 111 |
-
data.append({
|
| 112 |
-
"stream_selected": 0,
|
| 113 |
-
"label": "MiniMax-M2.1",
|
| 114 |
-
"value": "MiniMax-M2.1",
|
| 115 |
-
"wechat_selected": 0,
|
| 116 |
-
"wechat_label": 0,
|
| 117 |
-
"selected": 0,
|
| 118 |
-
"max_tokens": 4000,
|
| 119 |
-
"is_think": 0,
|
| 120 |
-
"web_label": 0,
|
| 121 |
-
"stream_label": 0,
|
| 122 |
-
"manufacturer": "minimax"
|
| 123 |
-
})
|
| 124 |
-
|
| 125 |
-
# data.append({
|
| 126 |
-
# "stream_selected": 0,
|
| 127 |
-
# "label": "deepseek-v3.2",
|
| 128 |
-
# "value": "deepseek-v3.2",
|
| 129 |
-
# "wechat_selected": 0,
|
| 130 |
-
# "wechat_label": 0,
|
| 131 |
-
# "selected": 0,
|
| 132 |
-
# "max_tokens": 4000,
|
| 133 |
-
# "is_think": 0,
|
| 134 |
-
# "web_label": 0,
|
| 135 |
-
# "stream_label": 0,
|
| 136 |
-
# "manufacturer": "华为"
|
| 137 |
-
# })
|
| 138 |
-
|
| 139 |
# 3. 一次性把整个 data 写回去
|
| 140 |
result = collection.update_one(
|
| 141 |
{"name": "txt2txt_config"},
|
|
|
|
| 23 |
|
| 24 |
data = doc["data"]
|
| 25 |
|
| 26 |
+
data["deepseek-v3.2"] = {
|
| 27 |
+
"completion_price": 0.00132,
|
| 28 |
+
"prompt_price": 0.00088,
|
| 29 |
"currency": "￥"
|
| 30 |
}
|
| 31 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 32 |
# 3. 一次性把整个 data 写回去
|
| 33 |
result = collection.update_one(
|
| 34 |
{"name": "txt2txt_price_config"},
|
|
|
|
| 64 |
|
| 65 |
data.append({
|
| 66 |
"stream_selected": 0,
|
| 67 |
+
"label": "deepseek-v3.2",
|
| 68 |
+
"value": "deepseek-v3.2",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 69 |
"wechat_selected": 0,
|
| 70 |
"wechat_label": 0,
|
| 71 |
"selected": 0,
|
|
|
|
| 73 |
"is_think": 0,
|
| 74 |
"web_label": 0,
|
| 75 |
"stream_label": 0,
|
| 76 |
+
"manufacturer": "华为"
|
| 77 |
})
|
| 78 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 79 |
# 3. 一次性把整个 data 写回去
|
| 80 |
result = collection.update_one(
|
| 81 |
{"name": "txt2txt_config"},
|