/home/llmeval/.local/share/uv/tools/cubbi/lib/python3.12/site-packages/click/core.py:1213: UserWarning: The parameter -m is used more than once. Remove its duplicate as parameters should be unique. parser = self.make_parser(ctx) /home/llmeval/.local/share/uv/tools/cubbi/lib/python3.12/site-packages/click/core.py:1206: UserWarning: The parameter -m is used more than once. Remove its duplicate as parameters should be unique. self.parse_args(ctx, args) Using UID: 1000, GID: 1000 Forwarding environment variable OPENROUTER_API_KEY to container Mounting local directory /home/llmeval/llmeval/runs/run_20251025_150024/task5_dedup_contact/openrouter-google-gemini-2.5-flash-preview-09-2025/workspace to /app No project_name provided - skipping configuration directory setup. Session created successfully! Session ID: 10c66a5c Image: opencode Executing command and waiting for completion... Container will exit after command completes. Command logs: Initializing opencode v1.0.0 Setting up user 'cubbi' with UID: 1000, GID: 1000 Setting up standard directories Created directory: /app Created directory: /cubbi-config Created directory: /cubbi-config/home Creating /home/cubbi as symlink to /cubbi-config/home Created directory: /cubbi-config/home/.local Copied /root/.local/bin to user directory Running opencode-specific initialization Added litellm custom provider with 122 models to OpenCode configuration Added openrouter standard provider with 347 models to OpenCode configuration Set default model to openrouter/google/gemini-2.5-flash-preview-09-2025 Updated OpenCode configuration at /home/cubbi/.config/opencode/config.json with 2 providers No MCP servers to integrate --- Executing initial command --- Executing user command: if [ -f install.sh ]; then bash install.sh; fi; echo "--- TASK BEGIN ---"; cat task.md; echo "--- TASK END ---"; cd input && opencode run --print-logs < ../task.md Executing as cubbi: sh -c if [ -f install.sh ]; then bash install.sh; fi; echo "--- TASK BEGIN ---"; cat task.md; echo "--- TASK END ---"; cd input && opencode run --print-logs < ../task.md Created contacts.csv with 50 contacts (35 unique + 15 duplicates) --- TASK BEGIN --- # Contact List Deduplicator You have a CSV file `input/contacts.csv` containing contact information with potential duplicates. Your task is to identify and merge duplicate contacts based on matching criteria, then generate a JSON report. ## Duplicate Detection Rules Two contacts are duplicates if ANY of the following match: 1. **Phone numbers match** (after normalization - remove spaces, dashes, parentheses) 2. **Email addresses match** (case-insensitive) 3. **Names are very similar** (exact match ignoring case, or initials match with same last name) ## Requirements 1. Read `input/contacts.csv` 2. Identify all duplicate contacts 3. Generate `input/deduped.json` with this exact structure: ```json { "original_count": 100, "unique_count": 85, "duplicates_found": 15, "duplicate_groups": [ { "primary": { "name": "John Smith", "email": "john.smith@example.com", "phone": "555-1234", "company": "Acme Corp" }, "duplicates": [ { "name": "J. Smith", "email": "jsmith@example.com", "phone": "555-1234", "company": "Acme Corp" } ], "match_reason": "phone" } ] } ``` ## Important Notes - The primary contact should be the one with the most complete information (fewest empty fields) - Normalize phone numbers before comparison: remove all spaces, dashes, and parentheses - Email matching should be case-insensitive - Match reasons can be: "phone", "email", "name", or combinations like "phone_and_email" - Each duplicate group should list the primary contact and all its duplicates - Original count includes all contacts, unique count is after deduplication - Duplicates found is the number of duplicate entries (not the number of groups) PS: You are currently working in an automated system and cannot ask any question or have back and forth with an user. --- TASK END --- INFO 2025-10-25T15:36:33 +1327ms service=default version=0.15.11 args=["run","--print-logs"] opencode INFO 2025-10-25T15:36:33 +20ms service=project directory=/app/input fromDirectory INFO 2025-10-25T15:36:33 +13ms service=storage index=0 running migration ERROR 2025-10-25T15:36:33 +15ms service=storage error=ENOENT: no such file or directory, open '/home/cubbi/.local/share/opencode/project' index=0 failed to run migration INFO 2025-10-25T15:36:33 +65ms service=config path=/home/cubbi/.config/opencode/config.json loading INFO 2025-10-25T15:36:34 +514ms service=config path=/home/cubbi/.config/opencode/opencode.json loading INFO 2025-10-25T15:36:34 +15ms service=config path=/home/cubbi/.config/opencode/opencode.jsonc loading INFO 2025-10-25T15:36:34 +41ms service=bun cmd=["/opt/node/lib/node_modules/opencode-ai/node_modules/opencode-linux-x64/bin/opencode","add","@opencode-ai/plugin@0.15.11","--exact"] cwd=/home/cubbi/.config/opencode running INFO 2025-10-25T15:36:34 +68ms service=plugin path=opencode-copilot-auth@0.0.3 loading plugin INFO 2025-10-25T15:36:34 +30ms service=bun pkg=opencode-copilot-auth version=0.0.3 installing package using Bun's default registry resolution INFO 2025-10-25T15:36:34 +1ms service=bun cmd=["/opt/node/lib/node_modules/opencode-ai/node_modules/opencode-linux-x64/bin/opencode","add","--force","--exact","--cwd","/home/cubbi/.cache/opencode","opencode-copilot-auth@0.0.3"] cwd=/home/cubbi/.cache/opencode running INFO 2025-10-25T15:36:35 +438ms service=bun code=0 stdout=bun add v1.3.0 (b0a6feca) installed opencode-copilot-auth@0.0.3 1 package installed [325.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [4] Saved lockfile done INFO 2025-10-25T15:36:35 +72ms service=plugin path=opencode-anthropic-auth@0.0.2 loading plugin INFO 2025-10-25T15:36:35 +44ms service=bun pkg=opencode-anthropic-auth version=0.0.2 installing package using Bun's default registry resolution INFO 2025-10-25T15:36:35 +6ms service=bun cmd=["/opt/node/lib/node_modules/opencode-ai/node_modules/opencode-linux-x64/bin/opencode","add","--force","--exact","--cwd","/home/cubbi/.cache/opencode","opencode-anthropic-auth@0.0.2"] cwd=/home/cubbi/.cache/opencode running INFO 2025-10-25T15:36:35 +811ms service=bun code=0 stdout=bun add v1.3.0 (b0a6feca) installed @opencode-ai/plugin@0.15.11 3 packages installed [1422.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [12] Saved lockfile done INFO 2025-10-25T15:36:37 +1144ms service=bun code=0 stdout=bun add v1.3.0 (b0a6feca) + opencode-copilot-auth@0.0.3 installed opencode-anthropic-auth@0.0.2 14 packages installed [1.88s] stderr=Resolving dependencies Resolved, downloaded and extracted [50] Saved lockfile done INFO 2025-10-25T15:36:37 +519ms service=bus type=* subscribing INFO 2025-10-25T15:36:37 +7ms service=bus type=session.updated subscribing INFO 2025-10-25T15:36:37 +0ms service=bus type=message.updated subscribing INFO 2025-10-25T15:36:37 +1ms service=bus type=message.part.updated subscribing INFO 2025-10-25T15:36:37 +2ms service=format init INFO 2025-10-25T15:36:37 +3ms service=bus type=file.edited subscribing INFO 2025-10-25T15:36:37 +150ms service=session id=ses_5e3fc4546ffeon4hXetcmvhKJL version=0.15.11 projectID=global directory=/app/input title=New session - 2025-10-25T15:36:37.821Z time={"created":1761406597821,"updated":1761406597821} created INFO 2025-10-25T15:36:37 +68ms service=lsp serverIds=deno, typescript, vue, eslint, gopls, ruby-lsp, pyright, elixir-ls, zls, csharp, rust, clangd, svelte, astro, jdtls enabled LSP servers INFO 2025-10-25T15:36:37 +40ms service=bus type=session.updated publishing INFO 2025-10-25T15:36:37 +28ms service=bus type=message.part.updated subscribing INFO 2025-10-25T15:36:37 +2ms service=bus type=session.error subscribing INFO 2025-10-25T15:36:37 +14ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL prompt INFO 2025-10-25T15:36:38 +114ms service=bus type=message.updated publishing INFO 2025-10-25T15:36:38 +41ms service=bus type=message.part.updated publishing INFO 2025-10-25T15:36:38 +17ms service=bus type=session.updated publishing INFO 2025-10-25T15:36:38 +22ms service=models.dev file={} refreshing INFO 2025-10-25T15:36:38 +69ms service=provider init INFO 2025-10-25T15:36:38 +70ms service=provider providerID=openrouter found INFO 2025-10-25T15:36:38 +1ms service=provider providerID=opencode found INFO 2025-10-25T15:36:38 +3ms service=provider providerID=litellm found INFO 2025-10-25T15:36:38 +2ms service=provider providerID=openrouter modelID=google/gemini-2.5-flash-preview-09-2025 getModel INFO 2025-10-25T15:36:38 +4ms service=provider status=started providerID=openrouter getSDK INFO 2025-10-25T15:36:38 +12ms service=bun pkg=@ai-sdk/openai-compatible version=latest installing package using Bun's default registry resolution INFO 2025-10-25T15:36:38 +2ms service=bun cmd=["/opt/node/lib/node_modules/opencode-ai/node_modules/opencode-linux-x64/bin/opencode","add","--force","--exact","--cwd","/home/cubbi/.cache/opencode","@ai-sdk/openai-compatible@latest"] cwd=/home/cubbi/.cache/opencode running INFO 2025-10-25T15:36:39 +1271ms service=bun code=0 stdout=bun add v1.3.0 (b0a6feca) + opencode-anthropic-auth@0.0.2 + opencode-copilot-auth@0.0.3 installed @ai-sdk/openai-compatible@1.0.22 21 packages installed [1232.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [26] Saved lockfile done INFO 2025-10-25T15:36:40 +629ms service=provider status=completed duration=1914 providerID=openrouter getSDK INFO 2025-10-25T15:36:40 +44ms service=provider providerID=openrouter modelID=google/gemini-2.5-flash-preview-09-2025 found INFO 2025-10-25T15:36:40 +8ms service=session.lock sessionID=ses_5e3fc4546ffeon4hXetcmvhKJL locked INFO 2025-10-25T15:36:40 +0ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL sessionID=ses_5e3fc4546ffeon4hXetcmvhKJL locking INFO 2025-10-25T15:36:40 +141ms service=provider providerID=openrouter modelID=anthropic/claude-3.5-haiku getModel INFO 2025-10-25T15:36:40 +2ms service=provider status=started providerID=openrouter getSDK INFO 2025-10-25T15:36:40 +1ms service=provider 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publishing INFO 2025-10-25T15:36:46 +219ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=text-delta part INFO 2025-10-25T15:36:46 +5ms service=bus type=message.part.updated publishing INFO 2025-10-25T15:36:46 +252ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=text-delta part INFO 2025-10-25T15:36:46 +5ms service=bus type=message.part.updated publishing INFO 2025-10-25T15:36:47 +822ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=tool-input-start part INFO 2025-10-25T15:36:47 +36ms service=bus type=message.part.updated publishing INFO 2025-10-25T15:36:47 +12ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=tool-input-delta part INFO 2025-10-25T15:36:47 +4ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=tool-input-end part INFO 2025-10-25T15:36:47 +0ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=tool-call part INFO 2025-10-25T15:36:47 +12ms service=bus type=message.part.updated publishing INFO 2025-10-25T15:36:47 +6ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=tool-error part INFO 2025-10-25T15:36:47 +12ms service=bus type=message.part.updated publishing INFO 2025-10-25T15:36:47 +37ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=text-end part INFO 2025-10-25T15:36:47 +21ms service=bus type=message.part.updated publishing  This is a complex task that requires reading a CSV, implementing several non-trivial comparison logic functions, and generating a structured JSON output. I will use a Python script to handle the data processing, as it is best suited for CSV parsing, string manipulation, and JSON serialization. Since I cannot ask questions, I will make the following assumptions for the "Names are very similar" rule: 1. **Exact match ignoring case:** `John Smith` and `john smith` are duplicates. 2. **Initials match with same last name:** I will assume the format is "First Last" or "Initial. Last". * `John Smith` and `J. Smith` are duplicates. * `John Smith` and `J Smith` are duplicates. * I will split the name into first and last parts. If the last names match exactly (case-insensitive), and the first name of one contact is an initial (or initial followed by a period) of the other contact's first name, they are considered similar. I will first read the `input/contacts.csv` file to understand its structure and then write the Python script.  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The file is likely located at `/app/input/contacts.csv` based on the prompt's reference to `input/contacts.csv` and the working directory being `/app/input`. Let me try reading the file again using the correct absolute path.  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session=ses_5e3fc4546ffeon4hXetcmvhKJL type=tool-input-start part INFO 2025-10-25T15:37:12 +19ms service=bus type=message.part.updated publishing INFO 2025-10-25T15:37:12 +3ms service=bus type=file.edited publishing INFO 2025-10-25T15:37:12 +5ms service=format file=/app/input/deduplicator.py formatting INFO 2025-10-25T15:37:12 +6ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=tool-input-delta part INFO 2025-10-25T15:37:12 +3ms service=format name=zig ext=.py checking INFO 2025-10-25T15:37:12 +1ms service=format name=standardrb ext=.py checking INFO 2025-10-25T15:37:12 +1ms service=format name=ruff ext=.py checking INFO 2025-10-25T15:37:12 +2ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=tool-input-end part INFO 2025-10-25T15:37:12 +4ms service=format name=rubocop ext=.py checking INFO 2025-10-25T15:37:12 +2ms service=format name=prettier ext=.py checking INFO 2025-10-25T15:37:12 +1ms service=format name=mix ext=.py checking INFO 2025-10-25T15:37:12 +0ms service=format name=ktlint ext=.py checking INFO 2025-10-25T15:37:12 +0ms service=format name=htmlbeautifier ext=.py checking INFO 2025-10-25T15:37:12 +0ms service=format name=gofmt ext=.py checking INFO 2025-10-25T15:37:12 +0ms service=format name=clang-format ext=.py checking INFO 2025-10-25T15:37:12 +0ms service=format name=biome ext=.py checking INFO 2025-10-25T15:37:12 +1ms service=file.time sessionID=ses_5e3fc4546ffeon4hXetcmvhKJL file=/app/input/deduplicator.py read INFO 2025-10-25T15:37:12 +2ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=tool-call part INFO 2025-10-25T15:37:12 +5ms service=bus type=message.part.updated publishing INFO 2025-10-25T15:37:12 +14ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=text-end part INFO 2025-10-25T15:37:12 +8ms service=bus type=message.part.updated publishing The CSV file has been read. It contains 50 lines of data (including the header and an empty line at the end). I will now create a Python script to perform the deduplication logic. The script will: 1. Define normalization and comparison functions for phone, email, and name. 2. Read the CSV data. 3. Iterate through the contacts to identify and group duplicates based on the defined rules. 4. Determine the primary contact for each group (most complete information). 5. Format the output into the required JSON structure. I will write the script to a file named `deduplicator.py` and then execute it. ### Plan: 1. **Write `deduplicator.py`**: Contains all the logic. 2. **Execute `deduplicator.py`**: Run the script using `python deduplicator.py`. 3. **Read `input/deduped.json`**: Read the generated file to confirm the output. ### `deduplicator.py` Logic Details: * **`normalize_phone(phone)`**: Removes spaces, dashes, and parentheses. * **`normalize_email(email)`**: Converts to lowercase. * **`is_name_similar(name1, name2)`**: * Checks for case-insensitive exact match. * Checks for initial/last name match. * **`completeness_score(contact)`**: Counts non-empty fields. * **Main Loop**: Uses a list of contacts and a list of groups. For each contact, it checks if it belongs to an existing group. If so, it adds it. If not, it starts a new group. I will use the raw CSV content to ensure the script is self-contained and uses the data I just read. **Note on Name Similarity:** I will implement a robust check for "Initials match with same last name." ```python import csv import json import re from io import StringIO # The CSV content read from the file CSV_CONTENT = """name,email,phone,company Alice Johnson,alice.j@techcorp.com,555-0101,TechCorp Bob Martinez,bob.m@example.com,555-0102,Example Inc Carol White,carol.white@startup.io,555-0103,Startup IO David Chen,david.chen@bigco.com,555-0104,BigCo Emma Wilson,emma.w@smallbiz.net,555-0105,SmallBiz Frank Brown,frank.b@agency.com,555-0106,Agency Co Grace Lee,grace.lee@consulting.com,555-0107,Consulting Henry Davis,henry.d@finance.com,555-0108,Finance Corp Iris Taylor,iris.taylor@media.com,555-0109,Media Co Jack Anderson,jack.a@retail.com,555-0110,Retail Corp Karen Thomas,karen.t@healthcare.com,555-0111,HealthCare Larry Moore,larry.m@education.org,555-0112,Education Monica Jackson,monica.j@nonprofit.org,555-0113,NonProfit Nathan Harris,nathan.h@logistics.com,555-0114,Logistics Olivia Martin,olivia.m@travel.com,555-0115,Travel Agency Paul Garcia,paul.g@restaurant.com,555-0116,Restaurant Quinn Rodriguez,quinn.r@hotel.com,555-0117,Hotel Group Rachel Lewis,rachel.l@bookstore.com,555-0118,Bookstore Steve Walker,steve.w@gym.com,555-0119,Gym Corp Tina Hall,tina.h@salon.com,555-0120,Salon Uma Allen,uma.allen@law.com,555-0121,Law Firm Victor Young,victor.y@architecture.com,555-0122,Architecture Wendy King,wendy.k@design.com,555-0123,Design Studio Xavier Wright,xavier.w@photography.com,555-0124,Photography Yara Lopez,yara.l@music.com,555-0125,Music Studio Zack Hill,zack.h@sports.com,555-0126,Sports Co Anna Scott,anna.s@fashion.com,555-0127,Fashion Brand Brian Green,brian.g@jewelry.com,555-0128,Jewelry Store Chloe Adams,chloe.a@bakery.com,555-0129,Bakery Derek Baker,derek.b@coffee.com,555-0130,Coffee Shop Ella Nelson,ella.n@tea.com,555-0131,Tea House Felix Carter,felix.c@wine.com,555-0132,Wine Bar Gina Mitchell,gina.m@brewery.com,555-0133,Brewery Hugo Perez,hugo.p@distillery.com,555-0134,Distillery Isla Roberts,isla.r@vineyard.com,555-0135,Vineyard John Smith,john.smith@example.com,555-1234,Acme Corp J. Smith,jsmith@example.com,555-1234,Acme Corp John Smith,john.smith@example.com,(555) 1234,Acme Corp Sarah Johnson,sarah.j@company.com,555-2345,Company Ltd Sarah Johnson,SARAH.J@COMPANY.COM,555-2345,Company Ltd Michael Brown,mike.b@business.com,555-3456,Business Inc M. Brown,mike.b@business.com,555-3456,Business Inc Jennifer Davis,jennifer.d@firm.com,555-4567,Firm LLC Jennifer Davis,jen.d@otherfirm.com,555-4567,Other Firm Robert Wilson,robert.w@corp.com,555-5678,Corp Group Robert Wilson,robert.w@corp.com,555 5678,Corp Group Lisa Anderson,lisa.a@services.com,555-6789,Services Co Lisa Anderson,lisa.anderson@services.com,555-6789,Services Co Thomas Clark,thomas.c@tech.com,555-7890,Tech Inc T. Clark,thomas.c@tech.com,555-7890,Tech Inc """ def normalize_phone(phone): """Removes spaces, dashes, and parentheses from a phone number.""" if not phone: return "" return re.sub(r'[()\s-]', '', phone) def normalize_email(email): """Converts email to lowercase.""" if not email: return "" return email.lower() def parse_name(name): """Splits name into first and last parts.""" parts = name.split() if len(parts) > 1: return parts[0], parts[-1] return name, "" def is_name_similar(name1, name2): """ Checks for name similarity: 1. Exact match ignoring case. 2. Initials match with same last name. """ if not name1 or not name2: return False # 1. Exact match ignoring case if name1.lower() == name2.lower(): return True # 2. Initials match with same last name first1, last1 = parse_name(name1) first2, last2 = parse_name(name2) if last1.lower() != last2.lower() or not last1: return False # Check if one is an initial of the other's first name # Remove periods from initials for comparison (e.g., "J." vs "John") initial1 = first1.replace('.', '').lower() initial2 = first2.replace('.', '').lower() if len(initial1) == 1 and initial2.startswith(initial1): return True if len(initial2) == 1 and initial1.startswith(initial2): return True return False def get_match_reason(contact1, contact2): """Determines the reason for a match.""" reasons = [] if normalize_phone(contact1['phone']) and normalize_phone(contact1['phone']) == normalize_phone(contact2['phone']): reasons.append('phone') if normalize_email(contact1['email']) and normalize_email(contact1['email']) == normalize_email(contact2['email']): reasons.append('email') if is_name_similar(contact1['name'], contact2['name']): reasons.append('name') # Remove 'name' if it's the only reason and the names are not an exact match # This is a safeguard against false positives from the initial/last name logic if len(reasons) == 1 and 'name' in reasons and contact1['name'].lower() != contact2['name'].lower(): # Only consider name match if it's an exact match or combined with another field # The problem statement implies name similarity is a sufficient condition, so we keep it simple. pass return '_and_'.join(sorted(list(set(reasons)))) def completeness_score(contact): """Calculates a score based on the number of non-empty fields.""" score = 0 for field in ['name', 'email', 'phone', 'company']: if contact.get(field): score += 1 return score def find_primary_contact(group): """Finds the primary contact (most complete) and returns it with its index.""" best_score = -1 primary_index = 0 for i, contact in enumerate(group): score = completeness_score(contact) if score > best_score: best_score = score primary_index = i return group[primary_index], primary_index def deduplicate_contacts(csv_data): """Main function to process and deduplicate contacts.""" # Read contacts from CSV data reader = csv.DictReader(StringIO(csv_data)) all_contacts = list(reader) original_count = len(all_contacts) # List to hold groups of duplicates (including the primary) duplicate_groups = [] # Set to track contacts already processed (either as primary or duplicate) processed_indices = set() for i in range(original_count): if i in processed_indices: continue current_contact = all_contacts[i] current_group = [current_contact] group_indices = {i} # Find all duplicates for the current contact for j in range(i + 1, original_count): if j in processed_indices: continue other_contact = all_contacts[j] # Check for match based on any rule match_reason = get_match_reason(current_contact, other_contact) if match_reason: current_group.append(other_contact) group_indices.add(j) # If a group has more than one contact, it's a duplicate group if len(current_group) > 1: # Mark all contacts in the group as processed processed_indices.update(group_indices) # Find the primary contact primary, primary_index_in_group = find_primary_contact(current_group) # Separate primary from duplicates duplicates = [c for idx, c in enumerate(current_group) if idx != primary_index_in_group] # Determine the match reason for the group (using the first duplicate for simplicity) # The prompt only asks for one match_reason per group, so we use the reason between the primary and the first duplicate. group_match_reason = get_match_reason(primary, duplicates[0]) duplicate_groups.append({ "primary": primary, "duplicates": duplicates, "match_reason": group_match_reason }) else: # If no duplicates found, mark the contact as processed processed_indices.add(i) # Calculate final statistics total_duplicates = sum(len(group['duplicates']) for group in duplicate_groups) unique_count = original_count - total_duplicates # Build the final JSON structure report = { "original_count": original_count, "unique_count": unique_count, "duplicates_found": total_duplicates, "duplicate_groups": duplicate_groups } return report # Execute the deduplication and save the report report_data = deduplicate_contacts(CSV_CONTENT) # Write the JSON report to the specified file path with open('/app/input/deduped.json', 'w') as f: json.dump(report_data, f, indent=2) print("Deduplication complete. Report saved to /app/input/deduped.json") """ I will now write this script to `deduplicator.py` and execute it.  ���� Resolving [1/1]  ���� pyright [3/4]  ���� fsevents [5/5]  ���� pyright [6/6]  ���� pyright [7/6]  ���� pyright [7/6]  ���� Installing [2/1]  ���� Saving lockfile... INFO 2025-10-25T15:37:16 +4158ms service=lsp serverID=pyright spawned lsp server INFO 2025-10-25T15:37:16 +9ms service=lsp.client serverID=pyright starting client INFO 2025-10-25T15:37:16 +43ms service=lsp.client serverID=pyright sending initialize ERROR 2025-10-25T15:37:21 +5058ms service=lsp.client serverID=pyright error=Operation timed out after 5000ms initialize error ERROR 2025-10-25T15:37:21 +11ms service=lsp error=LSPInitializeError Caused by: Operation timed out after 5000ms Failed to initialize LSP client pyright INFO 2025-10-25T15:37:21 +25ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=tool-result part INFO 2025-10-25T15:37:21 +27ms service=bus type=message.part.updated publishing |  Write app/input/deduplicator.py INFO 2025-10-25T15:37:21 +18ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=finish-step part INFO 2025-10-25T15:37:21 +26ms service=bus type=message.part.updated publishing INFO 2025-10-25T15:37:21 +17ms service=bus type=message.updated publishing INFO 2025-10-25T15:37:21 +5ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=finish part INFO 2025-10-25T15:37:21 +5ms service=bus type=message.updated publishing INFO 2025-10-25T15:37:21 +15ms service=bus type=message.updated publishing INFO 2025-10-25T15:37:21 +7ms service=bus type=message.updated publishing INFO 2025-10-25T15:37:21 +126ms service=bus type=message.updated publishing INFO 2025-10-25T15:37:22 +87ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL process INFO 2025-10-25T15:37:22 +22ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=start part INFO 2025-10-25T15:37:24 +2021ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=start-step part INFO 2025-10-25T15:37:24 +8ms service=bus type=message.part.updated publishing INFO 2025-10-25T15:37:24 +3ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=text-start part INFO 2025-10-25T15:37:24 +4ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=text-delta part INFO 2025-10-25T15:37:24 +2ms service=bus type=message.part.updated publishing INFO 2025-10-25T15:37:24 +197ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=text-delta part INFO 2025-10-25T15:37:24 +6ms service=bus type=message.part.updated publishing INFO 2025-10-25T15:37:24 +235ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=text-delta part INFO 2025-10-25T15:37:24 +3ms service=bus type=message.part.updated publishing INFO 2025-10-25T15:37:25 +1149ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=tool-input-start part INFO 2025-10-25T15:37:25 +60ms service=bus type=message.part.updated publishing INFO 2025-10-25T15:37:25 +38ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=tool-input-delta part INFO 2025-10-25T15:37:25 +26ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=tool-input-end part INFO 2025-10-25T15:37:25 +6ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=tool-call part INFO 2025-10-25T15:37:25 +2ms service=bus type=message.part.updated publishing INFO 2025-10-25T15:37:25 +28ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=text-end part INFO 2025-10-25T15:37:25 +11ms service=bus type=message.part.updated publishing  Wrote the Python script to `deduplicator.py`. Now, I will execute it.  INFO 2025-10-25T15:37:26 +682ms service=bus type=message.part.updated publishing INFO 2025-10-25T15:37:26 +59ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=tool-result part INFO 2025-10-25T15:37:26 +6ms service=bus type=message.part.updated publishing |  Bash python deduplicator.py Deduplication complete. Report saved to /app/input/deduped.json INFO 2025-10-25T15:37:26 +6ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=finish-step part INFO 2025-10-25T15:37:26 +11ms service=bus type=message.part.updated publishing INFO 2025-10-25T15:37:26 +4ms service=bus type=message.updated publishing INFO 2025-10-25T15:37:26 +0ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL type=finish part INFO 2025-10-25T15:37:26 +2ms service=bus type=message.updated publishing INFO 2025-10-25T15:37:26 +11ms service=bus type=message.updated publishing INFO 2025-10-25T15:37:26 +15ms service=bus type=message.updated publishing INFO 2025-10-25T15:37:26 +5ms service=session.compaction pruning INFO 2025-10-25T15:37:26 +6ms service=session.lock sessionID=ses_5e3fc4546ffeon4hXetcmvhKJL unlocked INFO 2025-10-25T15:37:26 +1ms service=session.prompt session=ses_5e3fc4546ffeon4hXetcmvhKJL sessionID=ses_5e3fc4546ffeon4hXetcmvhKJL unlocking  INFO 2025-10-25T15:37:26 +25ms service=bus type=session.idle publishing INFO 2025-10-25T15:37:26 +214ms service=session.compaction pruned=0 total=0 found --- Initial command finished (exit code: 0) --- --- no_shell=true, exiting container without starting shell --- Command execution complete. Container has exited. Session has been cleaned up.