yumoqing
5d52d02319
- v1/chat/completions: 默认值 '文生文' → 't2t'，SQL 匹配 b.id OR b.name - v1/video/generations: SQL 匹配 b.id OR b.name，注释示例更新 - v1/image/generations: SQL 匹配 b.id OR b.name，注释示例更新 - t2t/index.dspy: 默认值 '文生文' → 't2t'，SQL 匹配 b.id OR b.name - get_type_llms.dspy: 硬编码中文名改为 alias 映射(t2v/i2v/r2v) - docs/API.md: 添加完整 catelogid ID 对照表，示例参数更新
41 lines
1.0 KiB
Plaintext
41 lines
1.0 KiB
Plaintext
debug_params('params_kw', params_kw)
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lctype='t2t'
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if params_kw.off_peak:
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off_peak = params_kw.off_peak
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if off_peak in [True, "Y" "y", 1, "1"]:
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off_peak = True
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else:
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off_peak = False
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params_kw.off_peak = off_peak
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userid = await get_user()
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userorgid = await get_userorgid()
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if userid is None:
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return openai_403()
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if not params_kw.prompt:
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d = return_error('Missing need data(prompt)')
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return json_response(d, status=400)
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env = request._run_ns
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async with get_sor_context(env, 'llmage') as sor:
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sql = """select distinct a.* from llm a
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join llm_api_map m on a.id = m.llmid
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join llmcatelog b on m.llmcatelogid = b.id
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where (b.id = ${lctype}$ OR b.name = ${lctype}$)
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and a.model=${model}$
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and a.status = 'published'"""
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recs = await sor.sqlExe(sql, {
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'lctype': lctype,
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'model': params_kw.model or 'qwen3-max'
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})
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if len(recs) == 0:
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return openai_400()
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params_kw.llmid = recs[0].id
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f = await checkCustomerBalance(params_kw.llmid, userorgid)
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if not f:
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return openai_429()
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env = DictObject(**globals())
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return await inference(request, env=env)
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