Data Characteristics of This Category
Gas industry research reports primarily originate from public industry research institutions, official websites of the National Energy Administration and local energy regulatory authorities, and regular announcements of listed gas companies. Update cycles include monthly industry dynamic reports, quarterly performance briefings, and annual development white papers, with relatively fixed release times. Document structures typically include three modules: core operating indicators, regional market analysis, and policy interpretations. Fields include dedicated measurement indicators such as gas supply volume (unit: ten thousand cubic meters), residential gas user count (unit: ten thousand households), and LNG import volume (unit: ten thousand tons). Some research reports include comparative tables of regional gas price differences.
Constraints on Workflow Orchestration
The multi-source and dispersed sources of gas research reports require the workflow to configure multiple nodes to pull documents from different channels, avoiding information loss from a single data source. The fixed update cycle requires the workflow's scheduled trigger node to distinguish update cycles for different report types, preventing repeated pulls or missed latest documents. The dedicated fields and units require the workflow's parameter extraction link to configure unit verification rules, avoiding errors from mixed measurement units. The relatively long length of individual documents requires the workflow's document parsing node to adjust segmentation and timeout configurations to ensure complete parsing. The regional segmented data structure requires the workflow to support filtering retrieval results by regional parameters, improving query accuracy.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Individual gas research reports often exceed 100,000 words, and standard timeout durations cannot complete full parsing |
Segment Length | 800–1200 characters | Gas research reports contain dense numerical tables. Excessively long segments will lose field associations, while excessively short segments will disrupt data context |
Recall Count | Top 8 entries | Core indicators of gas research reports are mostly concentrated in the first 3-5 pages. Excessive recall will introduce irrelevant regional analysis content |
Similarity Threshold | 0.75–0.85 | Gas industry terminology has high recognition. A threshold that is too low will recall research reports from other utility categories such as coal and electricity |
Global Variable Lifecycle | Request-level | Retrieval requests for gas research reports across different regions require isolated parameters to avoid cross-request data contamination |
Workflow Trigger Condition | Match by report release time | Gas research reports are updated on fixed monthly/quarterly cycles. Filtering documents outside the target cycle by release time is required |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Using global variables to store regional retrieval parameters in the workflow without setting a request-level lifecycle, leading to mixed cross-request gas sales data. The default global variable lifecycle is session-level, and concurrent requests will share variables, causing data disorder.
- Misconfiguring string matching rules by using "contains" as the sole judgment for IF branches, resulting in incorrect classification of reports with "gas" in the title but belonging to other categories, or accurate matching titles being assigned to the ELSE branch. This occurs because the matching logic is not adjusted based on the fixed prefix of gas research report titles, which aligns with common matching rule anomalies in similar scenarios.
- Failing to configure the timeout setting for
PARSE_FILE_TIMEOUT_SECONDS, leading to parsing failure of individual long research reports and returning a504 Gateway Timeouterror. This is because the word count of individual gas research reports far exceeds the average length of general documents, and the default timeout cannot complete parsing.
How to Verify Successful Configuration
- Initiate a parsing task for a single gas research report, check whether parsing success markers exist in the parsing log, and whether the field extraction results include dedicated fields such as gas supply volume and station gate price.
- Initiate multiple concurrent regional gas research report retrieval requests, check that the return results for each request only include data for the corresponding region, with no cross-regional data contamination.
- Adjust the
Similarity Thresholdto 0.7 and 0.8, compare the category distribution of recall results, and confirm that the proportion of irrelevant category research reports meets expectations after threshold adjustment. - Trigger a scheduled pull task, check whether the release time of the pulled research reports matches the preset monthly/quarterly update cycle.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.