/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_20251031_150059/task7_log_parser/openrouter-google-gemini-2.5-flash-lite-preview-09-2025/workspace to /app No project_name provided - skipping configuration directory setup. Session created successfully! Session ID: 54bc0da8 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 123 models to OpenCode configuration Added openrouter standard provider with 342 models to OpenCode configuration Set default model to openrouter/google/gemini-2.5-flash-lite-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 --- TASK BEGIN --- You'll find a log file called `application.log` in the `./input` directory. Parse this log file and extract the following information: 1. Count the total number of ERROR and WARNING level messages 2. Extract all unique IP addresses that appear in the logs 3. Find all timestamps where errors occurred 4. Identify the most common error message (if any patterns exist) Generate a JSON file called `log_analysis.json` with the following structure: ```json { "total_errors": , "total_warnings": , "unique_ips": ["ip1", "ip2", ...], "error_timestamps": ["timestamp1", "timestamp2", ...], "most_common_error": "" } ``` Make sure to handle different log formats gracefully and extract the relevant information accurately. 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 2025-10-31T16:13:02 +3254ms service=default version=0.15.11 args=["run","--print-logs"] opencode INFO 2025-10-31T16:13:02 +22ms service=project directory=/app/input fromDirectory INFO 2025-10-31T16:13:02 +29ms service=storage index=0 running migration ERROR 2025-10-31T16:13:02 +51ms service=storage error=ENOENT: no such file or directory, open '/home/cubbi/.local/share/opencode/project' index=0 failed to run migration INFO 2025-10-31T16:13:02 +84ms service=config path=/home/cubbi/.config/opencode/config.json loading INFO 2025-10-31T16:13:03 +771ms service=config path=/home/cubbi/.config/opencode/opencode.json loading INFO 2025-10-31T16:13:03 +13ms service=config path=/home/cubbi/.config/opencode/opencode.jsonc loading INFO 2025-10-31T16:13:03 +125ms 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 2025-10-31T16:13:03 +121ms service=plugin path=opencode-copilot-auth@0.0.3 loading plugin INFO 2025-10-31T16:13:03 +48ms service=bun pkg=opencode-copilot-auth version=0.0.3 installing package using Bun's default registry resolution INFO 2025-10-31T16:13:03 +0ms 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 2025-10-31T16:13:04 +354ms service=bun code=0 stdout=bun add v1.3.0 (b0a6feca) installed opencode-copilot-auth@0.0.3 1 package installed [277.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [4] Saved lockfile done INFO 2025-10-31T16:13:04 +42ms service=plugin path=opencode-anthropic-auth@0.0.2 loading plugin INFO 2025-10-31T16:13:04 +7ms service=bun pkg=opencode-anthropic-auth version=0.0.2 installing package using Bun's default registry resolution INFO 2025-10-31T16:13:04 +3ms 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 2025-10-31T16:13:05 +1642ms service=bun code=0 stdout=bun add v1.3.0 (b0a6feca) installed @opencode-ai/plugin@0.15.11 3 packages installed [2.13s] stderr=Resolving dependencies Resolved, downloaded and extracted [12] Saved lockfile done INFO 2025-10-31T16:13:06 +524ms 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 [2.10s] stderr=Resolving dependencies Resolved, downloaded and extracted [50] Saved lockfile done INFO 2025-10-31T16:13:07 +960ms service=bus type=* subscribing INFO 2025-10-31T16:13:07 +5ms service=bus type=session.updated subscribing INFO 2025-10-31T16:13:07 +0ms service=bus type=message.updated subscribing INFO 2025-10-31T16:13:07 +1ms service=bus type=message.part.updated subscribing INFO 2025-10-31T16:13:07 +1ms service=format init INFO 2025-10-31T16:13:07 +0ms service=bus type=file.edited subscribing INFO 2025-10-31T16:13:07 +85ms service=session id=ses_5c4f4b3c8ffePiEidy5sDr1f45 version=0.15.11 projectID=global directory=/app/input title=New session - 2025-10-31T16:13:07.512Z time={"created":1761927187512,"updated":1761927187512} created INFO 2025-10-31T16:13:07 +95ms service=lsp serverIds=deno, typescript, vue, eslint, gopls, ruby-lsp, pyright, elixir-ls, zls, csharp, rust, clangd, svelte, astro, jdtls enabled LSP servers INFO 2025-10-31T16:13:07 +50ms service=bus type=session.updated publishing INFO 2025-10-31T16:13:07 +66ms service=bus type=message.part.updated subscribing INFO 2025-10-31T16:13:07 +5ms service=bus type=session.error subscribing INFO 2025-10-31T16:13:07 +37ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 prompt INFO 2025-10-31T16:13:07 +172ms service=bus type=message.updated publishing INFO 2025-10-31T16:13:08 +66ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:08 +140ms service=bus type=session.updated publishing INFO 2025-10-31T16:13:08 +64ms service=models.dev file={} refreshing INFO 2025-10-31T16:13:08 +305ms service=provider init INFO 2025-10-31T16:13:08 +192ms service=provider providerID=openrouter found INFO 2025-10-31T16:13:08 +4ms service=provider providerID=opencode found INFO 2025-10-31T16:13:08 +15ms service=provider providerID=litellm found INFO 2025-10-31T16:13:08 +5ms service=provider providerID=openrouter modelID=google/gemini-2.5-flash-lite-preview-09-2025 getModel INFO 2025-10-31T16:13:08 +10ms service=provider status=started providerID=openrouter getSDK INFO 2025-10-31T16:13:08 +13ms service=bun pkg=@ai-sdk/openai-compatible version=latest installing package using Bun's default registry resolution INFO 2025-10-31T16:13:08 +3ms 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 2025-10-31T16:13:10 +1960ms 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@1.0.25 21 packages installed [1.88s] stderr=Resolving dependencies Resolved, downloaded and extracted [26] Saved lockfile done INFO 2025-10-31T16:13:12 +2016ms service=provider status=completed duration=3992 providerID=openrouter getSDK INFO 2025-10-31T16:13:12 +53ms service=provider providerID=openrouter modelID=google/gemini-2.5-flash-lite-preview-09-2025 found INFO 2025-10-31T16:13:12 +8ms service=session.lock sessionID=ses_5c4f4b3c8ffePiEidy5sDr1f45 locked INFO 2025-10-31T16:13:12 +1ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 sessionID=ses_5c4f4b3c8ffePiEidy5sDr1f45 locking INFO 2025-10-31T16:13:13 +316ms service=provider providerID=openrouter modelID=anthropic/claude-3.5-haiku getModel INFO 2025-10-31T16:13:13 +1ms service=provider status=started providerID=openrouter getSDK INFO 2025-10-31T16:13:13 +2ms service=provider status=completed duration=1 providerID=openrouter getSDK INFO 2025-10-31T16:13:13 +104ms service=provider providerID=openrouter modelID=anthropic/claude-3.5-haiku found INFO 2025-10-31T16:13:13 +5ms service=bus type=message.updated publishing INFO 2025-10-31T16:13:13 +164ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 process INFO 2025-10-31T16:13:13 +70ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=start part INFO 2025-10-31T16:13:14 +1159ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 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2025-10-31T16:13:14 +119ms service=bus type=session.updated publishing INFO 2025-10-31T16:13:15 +53ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-delta part INFO 2025-10-31T16:13:15 +6ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:15 +57ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-delta part INFO 2025-10-31T16:13:15 +14ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:15 +143ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-delta part INFO 2025-10-31T16:13:15 +14ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:16 +844ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=tool-input-start part INFO 2025-10-31T16:13:16 +51ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:16 +14ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=tool-input-delta part INFO 2025-10-31T16:13:16 +6ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=tool-input-end part INFO 2025-10-31T16:13:16 +3ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=tool-call part INFO 2025-10-31T16:13:16 +21ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:16 +60ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-end part INFO 2025-10-31T16:13:16 +17ms service=bus type=message.part.updated publishing  I will first list the files in the current directory to confirm the existence of `application.log`. Then, I will use the `bash` tool with `rg` (ripgrep) to perform the required log parsing and analysis, and finally, I will use the `write` tool to create the `log_analysis.json` file with the aggregated results. Since I cannot ask questions, I will assume a common log format that includes a timestamp, log level (ERROR/WARNING), an IP address, and a message, and construct the `rg` commands to extract this information. I will use a placeholder for the log file path as `./input/application.log` based on the user's description. First, I will check the directory contents.  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session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-delta part INFO 2025-10-31T16:13:25 +19ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:25 +81ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-delta part INFO 2025-10-31T16:13:25 +10ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:25 +72ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-delta part INFO 2025-10-31T16:13:25 +4ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:27 +1721ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=tool-input-start part INFO 2025-10-31T16:13:27 +98ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:27 +83ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=tool-input-delta part INFO 2025-10-31T16:13:27 +178ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=tool-input-end part INFO 2025-10-31T16:13:27 +19ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=tool-call part INFO 2025-10-31T16:13:27 +8ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:27 +102ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:27 +112ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-end part INFO 2025-10-31T16:13:27 +13ms service=bus type=message.part.updated publishing  I have confirmed that `application.log` exists in `/app/input`. Now I will execute the analysis using `bash` and `rg`. I will use a single command to perform all extractions and then process the output to construct the JSON, as running multiple independent `rg` commands might be less efficient for this batch task. I will assume a log format where: 1. The timestamp is at the start, e.g., `YYYY-MM-DD HH:MM:SS`. 2. The log level (ERROR/WARNING) is present. 3. An IPv4 address is present somewhere in the line. I will use `rg` to find all lines containing "ERROR" or "WARNING", and then use shell tools (`awk`, `sort`, `uniq`) to process these lines to get the required counts, IPs, timestamps, and the most common error message. The command will be: 1. Count ERRORs and WARNINGs. 2. Extract unique IPs. 3. Extract timestamps for errors. 4. Find the most common error message. 5. Assemble the JSON. Since I must execute commands sequentially to build up the result for the final JSON, I will use a single, complex bash command to perform all necessary extractions and then write the final JSON. **Assumed Log Line Structure for Extraction:** `YYYY-MM-DD HH:MM:SS [LEVEL] [IP_ADDRESS] Message content...` I will use `rg` to find all relevant lines and then `awk` to parse them based on common delimiters or patterns. * **IP Extraction:** `rg -o -P '\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}' /app/input/application.log | sort -u` * **Error/Warning Count:** `rg -c 'ERROR|WARNING' /app/input/application.log` (This is not precise enough for separate counts, so I'll count them separately in the main block). * **Error Timestamps:** `rg -o -P '^\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}' --multiline /app/input/application.log | grep -f <(rg -l 'ERROR' /app/input/application.log)` (This is complex; I'll rely on `awk` within the main script for better correlation). * **Most Common Error:** `rg -o --no-filename 'ERROR.*' /app/input/application.log | sed 's/^ERROR: //' | sort | uniq -c | sort -nr | head -n 1` (This assumes the format `ERROR: Message`). I will combine these into one script for efficiency. I will use `awk` to handle the parsing based on the log level. The absolute path to the log file is `/app/input/application.log`. The bash command will: 1. Read the file. 2. Use `awk` to count ERRORs/WARNINGs, extract IPs, and extract error timestamps. 3. Use `rg` and shell utilities to find the most common error message. 4. Format the output into the required JSON structure. Since I cannot ask for clarification on the log format, I will use a robust pattern that captures common log structures: Timestamp at start, followed by LEVEL, and an IPv4 address somewhere. **Revised Plan for Bash Execution:** 1. Use `rg` to get all lines containing ERROR or WARNING. 2. Use `awk` on the filtered lines to count levels, extract IPs, and extract timestamps for errors. 3. Use `rg` again to find the most common error message text. 4. Use `jq` (assuming it's available, which is standard for JSON manipulation in these environments) or shell string manipulation to construct the final JSON. I will stick to pure shell/awk/sed/rg if possible to avoid dependency assumptions, but constructing complex JSON reliably without `jq` is error-prone. I will use shell string concatenation to build the JSON. Let's try to get all data points in one go using `awk` on the whole file, assuming the format is somewhat consistent: `TIMESTAMP LEVEL MESSAGE_CONTAINING_IP_OR_NOT`. ```bash LOG_FILE="/app/input/application.log" # 1. Count ERRORs and WARNINGs, extract IPs, and error timestamps in one pass with awk # This awk script assumes: # - Timestamp is the first field (e.g., YYYY-MM-DD HH:MM:SS) # - Log level is the second field (e.g., [ERROR] or ERROR) # - IP address is extracted using a regex match within the line. # - Error messages are extracted from lines containing "ERROR". awk ' BEGIN { OFS="\t"; total_errors=0; total_warnings=0; error_ts_count=0; error_msg_count=0; } { # Extract IP address (IPv4 pattern) if ($0 ~ /[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}/) { match($0, /[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}/, ip_arr); ips[ip_arr[0]] = 1; } # Count levels and extract error timestamps/messages if ($0 ~ /ERROR/) { total_errors++; # Assuming timestamp is the first field or can be extracted from the start match($0, /^[0-9]{4}-[0-9]{2}-[0-9]{2} [0-9]{2}:[0-9]{2}:[0-9]{2}/, ts_arr); if (ts_arr[0] != "") { error_timestamps[error_ts_count++] = ts_arr[0]; } # Extract error message (assuming "ERROR" is followed by a space and then the message) match($0, /ERROR:? (.*)/, msg_arr); if (msg_arr[1] != "") { error_msgs[msg_arr[1]]++; } } else if ($0 ~ /WARNING/) { total_warnings++; } } END { # Print unique IPs (one per line) for (ip in ips) { print "IP:" ip; } # Print error timestamps for (i = 0; i < error_ts_count; i++) { print "TS:" error_timestamps[i]; } # Print error message counts for (msg in error_msgs) { print "EM:" error_msgs[msg] "\t" msg; } # Print total counts (must be last to not interfere with other prints) print "COUNT:ERR:" total_errors; print "COUNT:WARN:" total_warnings; }' "$LOG_FILE" > /tmp/log_data.txt # 2. Process the output from awk to build the JSON # This part is complex in pure shell, so I will use a multi-step approach for clarity and correctness. # Extract counts TOTAL_ERRORS=$(grep "^COUNT:ERR:" /tmp/log_data.txt | cut -d: -f3) TOTAL_WARNINGS=$(grep "^COUNT:WARN:" /tmp/log_data.txt | cut -d: -f3) # Extract unique IPs and format as JSON array string UNIQUE_IPS=$(grep "^IP:" /tmp/log_data.txt | cut -d: -f2 | sed 's/^/\"/; s/$/\"/' | paste -sd,) # Extract error timestamps and format as JSON array string ERROR_TIMESTAMPS=$(grep "^TS:" /tmp/log_data.txt | cut -d: -f2 | sed 's/^/\"/; s/$/\"/' | paste -sd,) # Find most common error message MOST_COMMON_ERROR=$(grep "^EM:" /tmp/log_data.txt | sort -nr | head -n 1 | cut -f2- | sed 's/^[ \t]*//' | sed 's/"/\\"/g') # Handle case where no errors or no common error message was found if [ -z "$MOST_COMMON_ERROR" ]; then MOST_COMMON_ERROR="null" else MOST_COMMON_ERROR="\"$MOST_COMMON_ERROR\"" fi # Final JSON construction JSON_OUTPUT=" { \"total_errors\": $TOTAL_ERRORS, \"total_warnings\": $TOTAL_WARNINGS, \"unique_ips\": [$UNIQUE_IPS], \"error_timestamps\": [$ERROR_TIMESTAMPS], \"most_common_error\": $MOST_COMMON_ERROR } " # Write to file echo "$JSON_OUTPUT" > /app/input/log_analysis.json echo "log_analysis.json created." ``` This is a very complex operation involving multiple steps of data extraction and transformation in shell. I will execute this as a single bash command. I must ensure the path to the log file is correct: `/app/input/application.log`. I will use `sed` instead of `paste` for array formatting to be safer across different shell environments, and I will ensure all extracted strings are properly quoted for JSON. I will simplify the final JSON construction by using `jq` if available, as it is the standard for this. If `jq` is not available, the shell script above will be extremely brittle. Given the environment, I will assume standard utilities like `awk`, `grep`, `cut`, `sort`, `uniq`, and `sed` are available, and I will construct the JSON using them, which is safer than assuming `jq`. I will use `sed` to handle the array formatting and quoting for the final JSON output. Final simplified shell script for execution: ```bash LOG_FILE="/app/input/application.log" OUTPUT_FILE="/app/input/log_analysis.json" # --- Step 1: Extract raw data using awk --- # Output format: # IP: # TS: # EM:\t # COUNT:ERR: # COUNT:WARN: awk ' BEGIN { total_errors=0; total_warnings=0; error_ts_count=0; error_msg_count=0; } { # Extract IP address (IPv4 pattern) if ($0 ~ /[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}/) { match($0, /[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}/, ip_arr); ips[ip_arr[0]] = 1; } # Count levels and extract error timestamps/messages if ($0 ~ /ERROR/) { total_errors++; # Assuming timestamp is at the start of the line, matching common ISO format match($0, /^[0-9]{4}-[0-9]{2}-[0-9]{2} [0-9]{2}:[0-9]{2}:[0-9]{2}/, ts_arr); if (ts_arr[0] != "") { error_timestamps[error_ts_count++] = ts_arr[0]; } # Extract error message (assuming "ERROR" is followed by optional space/colon and then the message) match($0, /ERROR:?\s*(.*)/, msg_arr); if (msg_arr[1] != "") { # Clean up leading/trailing whitespace from message gsub(/^[ \t]+|[ \t]+$/, "", msg_arr[1]); error_msgs[msg_arr[1]]++; } } else if ($0 ~ /WARNING/) { total_warnings++; } } END { # Print unique IPs for (ip in ips) { print "IP:" ip; } # Print error timestamps for (i = 0; i < error_ts_count; i++) { print "TS:" error_timestamps[i]; } # Print error message counts (count is implicitly handled by sorting later) for (msg in error_msgs) { print "EM:" error_msgs[msg] "\t" msg; } # Print total counts print "COUNT:ERR:" total_errors; print "COUNT:WARN:" total_warnings; }' "$LOG_FILE" > /tmp/log_data.txt # --- Step 2: Process data and construct JSON --- # Get counts TOTAL_ERRORS=$(grep "^COUNT:ERR:" /tmp/log_data.txt | cut -d: -f3) TOTAL_WARNINGS=$(grep "^COUNT:WARN:" /tmp/log_data.txt | cut -d: -f3) # Get unique IPs and format for JSON array UNIQUE_IPS=$(grep "^IP:" /tmp/log_data.txt | cut -d: -f2 | sed 's/^/\"/; s/$/\"/' | tr '\n' ',' | sed 's/,$//') # Get error timestamps and format for JSON array ERROR_TIMESTAMPS=$(grep "^TS:" /tmp/log_data.txt | cut -d: -f2 | sed 's/^/\"/; s/$/\"/' | tr '\n' ',' | sed 's/,$//') # Find most common error message # Sort by count (first field), reverse order, take top line, cut out count and leading space, then escape quotes. MOST_COMMON_ERROR_LINE=$(grep "^EM:" /tmp/log_data.txt | sort -nr | head -n 1) if [ -n "$MOST_COMMON_ERROR_LINE" ]; then # Extract message part (field 2 onwards after tab) MESSAGE=$(echo "$MOST_COMMON_ERROR_LINE" | cut -f2- | sed 's/^[ \t]*//') # Escape quotes and wrap in quotes for JSON ESCAPED_MESSAGE=$(echo "$MESSAGE" | sed 's/"/\\"/g') MOST_COMMON_ERROR="\"$ESCAPED_MESSAGE\"" else MOST_COMMON_ERROR="null" fi # Final JSON construction JSON_OUTPUT=$(cat < "$OUTPUT_FILE" echo "Analysis complete. Results written to $OUTPUT_FILE" ```  INFO 2025-10-31T16:13:27 +279ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:27 +67ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=tool-result part INFO 2025-10-31T16:13:28 +10ms service=bus type=message.part.updated publishing |  Bash LOG_FILE="/app/input/application.log" OUTPUT_FILE="/app/input/log_analysis.json" # --- Step 1: Extract raw data using awk --- # Output format: # IP: # TS: # EM:\t # COUNT:ERR: # COUNT:WARN: awk ' BEGIN { total_errors=0; total_warnings=0; error_ts_count=0; error_msg_count=0; } { # Extract IP address (IPv4 pattern) if ($0 ~ /[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}/) { match($0, /[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}/, ip_arr); ips[ip_arr[0]] = 1; } # Count levels and extract error timestamps/messages if ($0 ~ /ERROR/) { total_errors++; # Assuming timestamp is at the start of the line, matching common ISO format match($0, /^[0-9]{4}-[0-9]{2}-[0-9]{2} [0-9]{2}:[0-9]{2}:[0-9]{2}/, ts_arr); if (ts_arr[0] != "") { error_timestamps[error_ts_count++] = ts_arr[0]; } # Extract error message (assuming "ERROR" is followed by optional space/colon and then the message) match($0, /ERROR:?\s*(.*)/, msg_arr); if (msg_arr[1] != "") { # Clean up leading/trailing whitespace from message gsub(/^[ \t]+|[ \t]+$/, "", msg_arr[1]); error_msgs[msg_arr[1]]++; } } else if ($0 ~ /WARNING/) { total_warnings++; } } END { # Print unique IPs for (ip in ips) { print "IP:" ip; } # Print error timestamps for (i = 0; i < error_ts_count; i++) { print "TS:" error_timestamps[i]; } # Print error message counts (count is implicitly handled by sorting later) for (msg in error_msgs) { print "EM:" error_msgs[msg] "\t" msg; } # Print total counts print "COUNT:ERR:" total_errors; print "COUNT:WARN:" total_warnings; }' "$LOG_FILE" > /tmp/log_data.txt # --- Step 2: Process data and construct JSON --- # Get counts TOTAL_ERRORS=$(grep "^COUNT:ERR:" /tmp/log_data.txt | cut -d: -f3) TOTAL_WARNINGS=$(grep "^COUNT:WARN:" /tmp/log_data.txt | cut -d: -f3) # Get unique IPs and format for JSON array UNIQUE_IPS=$(grep "^IP:" /tmp/log_data.txt | cut -d: -f2 | sed 's/^/\"/; s/$/\"/' | tr '\n' ',' | sed 's/,$//') # Get error timestamps and format for JSON array ERROR_TIMESTAMPS=$(grep "^TS:" /tmp/log_data.txt | cut -d: -f2 | sed 's/^/\"/; s/$/\"/' | tr '\n' ',' | sed 's/,$//') # Find most common error message # Sort by count (first field), reverse order, take top line, cut out count and leading space, then escape quotes. MOST_COMMON_ERROR_LINE=$(grep "^EM:" /tmp/log_data.txt | sort -nr | head -n 1) if [ -n "$MOST_COMMON_ERROR_LINE" ]; then # Extract message part (field 2 onwards after tab) MESSAGE=$(echo "$MOST_COMMON_ERROR_LINE" | cut -f2- | sed 's/^[ \t]*//') # Escape quotes and wrap in quotes for JSON ESCAPED_MESSAGE=$(echo "$MESSAGE" | sed 's/"/\\"/g') MOST_COMMON_ERROR="\"$ESCAPED_MESSAGE\"" else MOST_COMMON_ERROR="null" fi # Final JSON construction JSON_OUTPUT=$(cat < "$OUTPUT_FILE" echo "Analysis complete. Results written to $OUTPUT_FILE" awk: line 11: syntax error at or near , awk: line 19: syntax error at or near , awk: line 24: syntax error at or near , Analysis complete. Results written to /app/input/log_analysis.json INFO 2025-10-31T16:13:28 +15ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=finish-step part INFO 2025-10-31T16:13:28 +20ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:28 +13ms service=bus type=message.updated publishing INFO 2025-10-31T16:13:28 +3ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=finish part INFO 2025-10-31T16:13:28 +11ms service=bus type=message.updated publishing INFO 2025-10-31T16:13:28 +122ms service=bus type=message.updated publishing INFO 2025-10-31T16:13:28 +10ms service=bus type=message.updated publishing INFO 2025-10-31T16:13:28 +106ms service=bus type=message.updated publishing INFO 2025-10-31T16:13:28 +83ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 process INFO 2025-10-31T16:13:28 +8ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=start part INFO 2025-10-31T16:13:29 +889ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=start-step part INFO 2025-10-31T16:13:29 +14ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:29 +4ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-start part INFO 2025-10-31T16:13:29 +8ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-delta part INFO 2025-10-31T16:13:29 +2ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:29 +142ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-delta part INFO 2025-10-31T16:13:29 +1ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:29 +89ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-delta part INFO 2025-10-31T16:13:29 +6ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:29 +150ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-delta part INFO 2025-10-31T16:13:29 +11ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:29 +100ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-delta part INFO 2025-10-31T16:13:29 +15ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:29 +122ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-delta part INFO 2025-10-31T16:13:29 +4ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:30 +190ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-delta part INFO 2025-10-31T16:13:30 +4ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:30 +178ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-delta part INFO 2025-10-31T16:13:30 +7ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:30 +255ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-delta part INFO 2025-10-31T16:13:30 +8ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:30 +169ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-delta part INFO 2025-10-31T16:13:30 +1ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:30 +225ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-delta part INFO 2025-10-31T16:13:30 +5ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:33 +2844ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=tool-input-start part INFO 2025-10-31T16:13:33 +20ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:33 +85ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=tool-input-delta part INFO 2025-10-31T16:13:33 +13ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=tool-input-end part INFO 2025-10-31T16:13:33 +7ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=tool-call part INFO 2025-10-31T16:13:33 +17ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:34 +75ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=text-end part INFO 2025-10-31T16:13:34 +21ms service=bus type=message.part.updated publishing  I encountered a syntax error in the `awk` script during execution, likely due to how array assignments or function calls were structured in the complex single command. This indicates the parsing logic needs to be broken down into more manageable steps to ensure correctness, especially when dealing with multiple data extractions and transformations in a single shell block. Since I cannot interactively debug, I will simplify the approach by running separate, targeted `rg` commands for each piece of information, which is more robust than a single complex `awk` script, and then use shell commands to aggregate the results into the final JSON file. New plan: 1. Use `rg` to count total ERRORs and WARNINGs. 2. Use `rg` to extract all unique IPv4 addresses. 3. Use `rg` to extract all timestamps associated with ERROR lines. 4. Use `rg` to find the most common error message text. 5. Use `bash` to assemble the final JSON structure in `/app/input/log_analysis.json`. I will execute these four data extraction steps in parallel using the `bash` tool, and then use a second `bash` call to assemble the JSON. **Step 1: Data Extraction (Parallelized)** I will use `rg` for extraction and pipe the output to temporary files for later assembly. I will assume the timestamp format is `YYYY-MM-DD HH:MM:SS` at the start of the line, and the error message follows `ERROR: ` or similar. **IP Regex:** `\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}` **Timestamp Regex:** `^\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}` **Error Message Regex:** `ERROR:?\s*(.*)` (to capture text after ERROR)  INFO 2025-10-31T16:13:34 +353ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:34 +52ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:34 +31ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=tool-result part INFO 2025-10-31T16:13:34 +7ms service=bus type=message.part.updated publishing |  Bash LOG_FILE="/app/input/application.log" OUTPUT_FILE="/app/input/log_analysis.json" # --- Step 1: Extract raw data using separate, targeted commands --- # 1. Count total ERRORs and WARNINGs TOTAL_COUNTS=$(rg -c 'ERROR|WARNING' "$LOG_FILE" | awk '{ count_err=0; count_warn=0; while (getline) { if ($0 ~ /ERROR/) count_err++; else if ($0 ~ /WARNING/) count_warn++; } print "ERR:" count_err "\nWARN:" count_warn; }') TOTAL_ERRORS=$(echo "$TOTAL_COUNTS" | grep "ERR:" | cut -d: -f2) TOTAL_WARNINGS=$(echo "$TOTAL_COUNTS" | grep "WARN:" | cut -d: -f2) # 2. Extract all unique IP addresses UNIQUE_IPS_RAW=$(rg -o --no-filename '\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}' "$LOG_FILE" | sort -u) UNIQUE_IPS=$(echo "$UNIQUE_IPS_RAW" | sed 's/^/\"/; s/$/\"/' | tr '\n' ',' | sed 's/,$//') # 3. Find all timestamps where errors occurred # Assuming timestamp format is YYYY-MM-DD HH:MM:SS at the start of the line ERROR_TIMESTAMPS_RAW=$(rg -o --no-filename '^\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}' "$LOG_FILE" | grep -f <(rg -l 'ERROR' "$LOG_FILE")) ERROR_TIMESTAMPS=$(echo "$ERROR_TIMESTAMPS_RAW" | sed 's/^/\"/; s/$/\"/' | tr '\n' ',' | sed 's/,$//') # 4. Identify the most common error message # Extract messages following "ERROR: " or "ERROR " and find the most frequent one. MOST_COMMON_ERROR_LINE=$(rg -o --no-filename 'ERROR:?\s*(.*)' "$LOG_FILE" | \ sed 's/^ERROR:? //' | \ sed 's/^[ \t]*//' | \ sort | \ uniq -c | \ sort -nr | \ head -n 1) if [ -n "$MOST_COMMON_ERROR_LINE" ]; then # Extract message part (field 2 onwards after space) MESSAGE=$(echo "$MOST_COMMON_ERROR_LINE" | awk '{$1=""; print $0}' | sed 's/^[ \t]*//') # Escape quotes and wrap in quotes for JSON ESCAPED_MESSAGE=$(echo "$MESSAGE" | sed 's/"/\\"/g') MOST_COMMON_ERROR="\"$ESCAPED_MESSAGE\"" else MOST_COMMON_ERROR="null" fi # --- Step 2: Assemble JSON --- JSON_OUTPUT=$(cat < "$OUTPUT_FILE" echo "Analysis complete. Results written to $OUTPUT_FILE" /bin/sh: 24: Syntax error: "(" unexpected INFO 2025-10-31T16:13:34 +20ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=finish-step part INFO 2025-10-31T16:13:34 +25ms service=bus type=message.part.updated publishing INFO 2025-10-31T16:13:34 +5ms service=bus type=message.updated publishing INFO 2025-10-31T16:13:34 +5ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 type=finish part INFO 2025-10-31T16:13:34 +1ms service=bus type=message.updated publishing INFO 2025-10-31T16:13:34 +111ms service=bus type=message.updated publishing INFO 2025-10-31T16:13:34 +9ms service=bus type=message.updated publishing INFO 2025-10-31T16:13:34 +4ms service=session.compaction pruning INFO 2025-10-31T16:13:34 +9ms service=session.lock sessionID=ses_5c4f4b3c8ffePiEidy5sDr1f45 unlocked INFO 2025-10-31T16:13:34 +7ms service=session.prompt session=ses_5c4f4b3c8ffePiEidy5sDr1f45 sessionID=ses_5c4f4b3c8ffePiEidy5sDr1f45 unlocking  INFO 2025-10-31T16:13:34 +93ms service=bus type=session.idle publishing INFO 2025-10-31T16:13:35 +893ms 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.