|
| 1 | +import logging |
| 2 | +from typing import Optional, Any, Dict, List |
| 3 | +from bson import ObjectId |
| 4 | +from bson.errors import InvalidId |
| 5 | +from pymongo import DESCENDING |
| 6 | + |
| 7 | +# Assuming database.py is in the same directory |
| 8 | +from ..database import get_user_actions_collection_async # Changed from sync |
| 9 | +# Assuming shared.py is in the same directory and contains IMPL_STATUS_VOTING |
| 10 | +from ..shared import ( |
| 11 | + IMPL_STATUS_VOTING, |
| 12 | + IMPL_STATUS_COMMUNITY_IMPLEMENTABLE, |
| 13 | + IMPL_STATUS_COMMUNITY_NOT_IMPLEMENTABLE, |
| 14 | + IMPL_STATUS_ADMIN_IMPLEMENTABLE, |
| 15 | + IMPL_STATUS_ADMIN_NOT_IMPLEMENTABLE |
| 16 | +) |
| 17 | +from ..cache import paper_cache |
| 18 | + |
| 19 | +logger = logging.getLogger(__name__) |
| 20 | + |
| 21 | +# --- Helper functions for transform_paper_async (previously _sync) --- |
| 22 | +# Helper function to transform author data |
| 23 | +def _transform_authors(authors_data: Any) -> List[str]: |
| 24 | + if authors_data and isinstance(authors_data, list): |
| 25 | + if all(isinstance(author, dict) for author in authors_data): |
| 26 | + return [author.get("name") for author in authors_data if author.get("name")] |
| 27 | + elif all(isinstance(author, str) for author in authors_data): |
| 28 | + return authors_data |
| 29 | + return [] |
| 30 | + |
| 31 | +# Helper function to transform URL strings |
| 32 | +def _transform_url(url_value: Any) -> Optional[str]: |
| 33 | + if url_value and isinstance(url_value, str) and url_value.strip(): |
| 34 | + return str(url_value) |
| 35 | + return None |
| 36 | + |
| 37 | +# Async helper function to get user-specific paper data (OPTIMIZED) |
| 38 | +async def _get_user_specific_paper_data_async(paper_obj_id: ObjectId, current_user_id_str: Optional[str]) -> Dict[str, Any]: |
| 39 | + user_data = { |
| 40 | + "current_user_vote": None, |
| 41 | + "current_user_implementability_vote": None, |
| 42 | + } |
| 43 | + if not current_user_id_str: |
| 44 | + return user_data |
| 45 | + |
| 46 | + user_actions_collection = await get_user_actions_collection_async() |
| 47 | + |
| 48 | + try: |
| 49 | + user_obj_id = ObjectId(current_user_id_str) |
| 50 | + |
| 51 | + # OPTIMIZATION: Single query instead of multiple count queries |
| 52 | + from ..schemas.user_activity import LoggedActionTypes |
| 53 | + |
| 54 | + # Get all user actions for this paper in one query |
| 55 | + user_actions = await user_actions_collection.find( |
| 56 | + {"userId": user_obj_id, "paperId": paper_obj_id}, |
| 57 | + {"actionType": 1, "timestamp": 1} |
| 58 | + ).sort([("timestamp", DESCENDING)]).to_list(length=None) |
| 59 | + |
| 60 | + # Process actions |
| 61 | + has_upvote = False |
| 62 | + latest_implementability_action = None |
| 63 | + |
| 64 | + implementability_action_types_map = { |
| 65 | + LoggedActionTypes.ADMIN_IMPLEMENTABLE.value: "up", |
| 66 | + LoggedActionTypes.COMMUNITY_IMPLEMENTABLE.value: "up", |
| 67 | + LoggedActionTypes.COMMUNITY_NOT_IMPLEMENTABLE.value: "down", |
| 68 | + LoggedActionTypes.ADMIN_NOT_IMPLEMENTABLE.value: "down", |
| 69 | + } |
| 70 | + |
| 71 | + for action in user_actions: |
| 72 | + action_type = action.get("actionType") |
| 73 | + |
| 74 | + # Check for upvote |
| 75 | + if action_type == LoggedActionTypes.UPVOTE.value: |
| 76 | + has_upvote = True |
| 77 | + |
| 78 | + # Check for implementability vote (get the latest one) |
| 79 | + if action_type in implementability_action_types_map and latest_implementability_action is None: |
| 80 | + latest_implementability_action = action_type |
| 81 | + |
| 82 | + if has_upvote: |
| 83 | + user_data["current_user_vote"] = "up" |
| 84 | + |
| 85 | + if latest_implementability_action: |
| 86 | + user_data["current_user_implementability_vote"] = implementability_action_types_map[latest_implementability_action] |
| 87 | + |
| 88 | + except InvalidId: |
| 89 | + logger.warning(f"Invalid ObjectId for current_user_id_str: {current_user_id_str} when fetching user-specific paper data. Skipping.") |
| 90 | + pass |
| 91 | + except Exception as e: |
| 92 | + logger.error(f"Error fetching user-specific data for paper {paper_obj_id} and user {current_user_id_str}: {e}", exc_info=True) |
| 93 | + return user_data |
| 94 | + |
| 95 | +# Async helper function to get aggregate vote counts (OPTIMIZED) |
| 96 | +async def _get_aggregate_vote_counts_async(paper_obj_id: ObjectId) -> Dict[str, int]: |
| 97 | + from ..schemas.user_activity import LoggedActionTypes |
| 98 | + counts = { |
| 99 | + "not_implementable_votes": 0, |
| 100 | + "implementable_votes": 0, |
| 101 | + } |
| 102 | + user_actions_collection = await get_user_actions_collection_async() |
| 103 | + try: |
| 104 | + # OPTIMIZATION: Single aggregation query instead of multiple count queries |
| 105 | + pipeline = [ |
| 106 | + {"$match": {"paperId": paper_obj_id}}, |
| 107 | + {"$group": { |
| 108 | + "_id": "$actionType", |
| 109 | + "count": {"$sum": 1} |
| 110 | + }} |
| 111 | + ] |
| 112 | + |
| 113 | + cursor = await user_actions_collection.aggregate(pipeline) |
| 114 | + results = [doc async for doc in cursor] |
| 115 | + |
| 116 | + not_implementable_action_types = { |
| 117 | + LoggedActionTypes.COMMUNITY_NOT_IMPLEMENTABLE.value, |
| 118 | + LoggedActionTypes.ADMIN_NOT_IMPLEMENTABLE.value |
| 119 | + } |
| 120 | + |
| 121 | + implementable_action_types = { |
| 122 | + LoggedActionTypes.COMMUNITY_IMPLEMENTABLE.value, |
| 123 | + LoggedActionTypes.ADMIN_IMPLEMENTABLE.value |
| 124 | + } |
| 125 | + |
| 126 | + for result in results: |
| 127 | + action_type = result["_id"] |
| 128 | + count = result["count"] |
| 129 | + |
| 130 | + if action_type in not_implementable_action_types: |
| 131 | + counts["not_implementable_votes"] += count |
| 132 | + elif action_type in implementable_action_types: |
| 133 | + counts["implementable_votes"] += count |
| 134 | + |
| 135 | + except Exception as e: |
| 136 | + logger.error(f"Error fetching aggregate vote counts for paper {paper_obj_id}: {e}", exc_info=True) |
| 137 | + return counts |
| 138 | + |
| 139 | +# --- Main Asynchronous Transformation Function --- |
| 140 | +async def transform_paper_async( |
| 141 | + paper_doc: Dict[str, Any], |
| 142 | + current_user_id_str: Optional[str] = None, |
| 143 | + detail_level: str = "full" |
| 144 | +) -> Optional[Dict[str, Any]]: |
| 145 | + if not paper_doc: |
| 146 | + return None |
| 147 | + |
| 148 | + paper_id = str(paper_doc["_id"]) if "_id" in paper_doc else None |
| 149 | + if not paper_id: |
| 150 | + logger.warning("Paper document missing _id field.") |
| 151 | + return None |
| 152 | + |
| 153 | + paper_obj_id_val = paper_doc.get("_id") |
| 154 | + if not isinstance(paper_obj_id_val, ObjectId): |
| 155 | + try: |
| 156 | + paper_obj_id = ObjectId(paper_obj_id_val) |
| 157 | + except InvalidId: |
| 158 | + logger.error(f"Invalid ObjectId format for paper_doc._id: {paper_obj_id_val}") |
| 159 | + return None |
| 160 | + else: |
| 161 | + paper_obj_id = paper_obj_id_val |
| 162 | + |
| 163 | + # Synchronous parts of transformation remain the same |
| 164 | + transformed_data = { |
| 165 | + "id": paper_id, |
| 166 | + "title": paper_doc.get("title"), |
| 167 | + "authors": _transform_authors(paper_doc.get("authors", [])), |
| 168 | + "publication_date": paper_doc.get("publicationDate"), |
| 169 | + "upvote_count": paper_doc.get("upvoteCount", 0), |
| 170 | + "status": paper_doc.get("status", "Not Started"), |
| 171 | + "url_github": _transform_url(paper_doc.get("urlGithub")), # Include in base for all detail levels |
| 172 | + "url_abs": _transform_url(paper_doc.get("urlAbs")), # Include in base for paper list icons |
| 173 | + "url_pdf": _transform_url(paper_doc.get("urlPdf")), # Include in base for paper list icons |
| 174 | + "has_code": paper_doc.get("hasCode", False), # Include in base for all detail levels |
| 175 | + } |
| 176 | + |
| 177 | + # Preserve implementationProgress if it exists in the input paper_doc |
| 178 | + # This key is added in paper_view_service.py before calling this transform function |
| 179 | + if "implementationProgress" in paper_doc and paper_doc["implementationProgress"] is not None: |
| 180 | + transformed_data["implementationProgress"] = paper_doc["implementationProgress"] |
| 181 | + |
| 182 | + # Add fields for summary level (used in dashboard and profile) |
| 183 | + if detail_level in ["summary", "full"]: |
| 184 | + raw_implementability_status = paper_doc.get("implementabilityStatus") |
| 185 | + current_implementability_status = IMPL_STATUS_VOTING |
| 186 | + if raw_implementability_status: |
| 187 | + if raw_implementability_status.lower() == "voting": |
| 188 | + current_implementability_status = IMPL_STATUS_VOTING |
| 189 | + elif raw_implementability_status in [ |
| 190 | + IMPL_STATUS_COMMUNITY_IMPLEMENTABLE, |
| 191 | + IMPL_STATUS_COMMUNITY_NOT_IMPLEMENTABLE, |
| 192 | + IMPL_STATUS_ADMIN_IMPLEMENTABLE, |
| 193 | + IMPL_STATUS_ADMIN_NOT_IMPLEMENTABLE |
| 194 | + ]: |
| 195 | + current_implementability_status = raw_implementability_status |
| 196 | + |
| 197 | + # Truncate abstract for summary level to reduce payload size |
| 198 | + abstract = paper_doc.get("abstract", "") |
| 199 | + if detail_level == "summary" and abstract: |
| 200 | + abstract = abstract[:300] if len(abstract) > 300 else abstract |
| 201 | + |
| 202 | + transformed_data.update({ |
| 203 | + "abstract": abstract, |
| 204 | + "venue": paper_doc.get("venue"), # Also known as "proceeding" |
| 205 | + "tags": paper_doc.get("tasks", []), # DB field is "tasks", Pydantic field "tags" has alias "tasks" |
| 206 | + "implementability_status": current_implementability_status, |
| 207 | + }) |
| 208 | + |
| 209 | + # Add additional fields only for full detail level |
| 210 | + if detail_level == "full": |
| 211 | + transformed_data.update({ |
| 212 | + "pwc_url": _transform_url(paper_doc.get("pwcUrl")), |
| 213 | + "arxiv_id": paper_doc.get("arxivId"), |
| 214 | + }) |
| 215 | + |
| 216 | + try: |
| 217 | + # Asynchronous calls to helper functions |
| 218 | + # For summary level, we skip user-specific data to improve performance |
| 219 | + if detail_level != "summary": |
| 220 | + user_specific_data = await _get_user_specific_paper_data_async(paper_obj_id, current_user_id_str) |
| 221 | + transformed_data.update(user_specific_data) |
| 222 | + |
| 223 | + if detail_level == "full": |
| 224 | + aggregate_votes = await _get_aggregate_vote_counts_async(paper_obj_id) |
| 225 | + transformed_data.update(aggregate_votes) |
| 226 | + |
| 227 | + except Exception as e: |
| 228 | + logger.error(f"Error during async data transformation for paper {paper_id}: {e}", exc_info=True) |
| 229 | + return None |
| 230 | + |
| 231 | + return transformed_data |
| 232 | + |
| 233 | + |
| 234 | +__all__ = [ |
| 235 | + 'transform_paper_async', |
| 236 | + '_transform_authors', |
| 237 | + '_transform_url', |
| 238 | + '_get_user_specific_paper_data_async', |
| 239 | + '_get_aggregate_vote_counts_async', |
| 240 | +] |
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