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ci: add coverage and ruff (#1383)
* add coverage calculation and push Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * new codecov version and usage of token Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * enable ruff formatter instead of black and isort Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * apply ruff lint fixes Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * apply ruff unsafe fixes Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * add removed imports Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * runs 1 on linter issues Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * finalize linter fixes Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * Update pyproject.toml Co-authored-by: Cesar Berrospi Ramis <75900930+ceberam@users.noreply.github.com> Signed-off-by: Michele Dolfi <97102151+dolfim-ibm@users.noreply.github.com> --------- Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> Signed-off-by: Michele Dolfi <97102151+dolfim-ibm@users.noreply.github.com> Co-authored-by: Cesar Berrospi Ramis <75900930+ceberam@users.noreply.github.com>
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@@ -283,7 +283,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 23,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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@@ -369,7 +369,7 @@
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" new_index = SearchIndex(name=index_name, fields=fields, vector_search=vector_search)\n",
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" try:\n",
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" index_client.delete_index(index_name)\n",
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" except:\n",
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" except Exception:\n",
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" pass\n",
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"\n",
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" index_client.create_or_update_index(new_index)\n",
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@@ -487,7 +487,7 @@
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"\n",
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" all_succeeded = all(r.succeeded for r in resp)\n",
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" console.print(\n",
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" f\"Uploaded batch {i} -> {i+len(subset)}; all_succeeded: {all_succeeded}, \"\n",
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" f\"Uploaded batch {i} -> {i + len(subset)}; all_succeeded: {all_succeeded}, \"\n",
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" f\"first_doc_status_code: {resp[0].status_code}\"\n",
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" )\n",
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"\n",
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@@ -807,10 +807,12 @@
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}
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],
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"source": [
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"from typing import Optional\n",
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"\n",
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"from azure.search.documents.models import VectorizableTextQuery\n",
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"\n",
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"\n",
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"def generate_chat_response(prompt: str, system_message: str = None):\n",
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"def generate_chat_response(prompt: str, system_message: Optional[str] = None):\n",
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" \"\"\"\n",
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" Generates a single-turn chat response using Azure OpenAI Chat.\n",
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" If you need multi-turn conversation or follow-up queries, you'll have to\n",
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