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It provides tools to query and process time-series data from InfluxDB, applying a series of transformations and calculations.\r\n\r\n## Setup\r\n\r\n1.  **Clone the repository:**\r\n    ```bash\r\n    git clone <repository-url>\r\n    ```\r\n\r\n2.  **Navigate to the project directory:**\r\n    ```bash\r\n    cd mercados-pecuarios-libs-analytical-reports\r\n    ```\r\n\r\n3.  **Install the dependencies:**\r\n    ```bash\r\n    npm install\r\n    ```\r\n\r\n## Running Tests\r\n\r\nTo run the test suite, use the following command:\r\n\r\n```bash\r\nnpm run test\r\n```\r\n\r\nThis will run all the unit tests and generate a coverage report.\r\n\r\n## Data Structures\r\n\r\nThis library uses a set of data structures to define queries and handle data processing. Here is a high-level overview of the most important ones.\r\n\r\n### `GetPointsQuery`\r\n\r\nThe `GetPointsQuery` interface is used to define a query to retrieve data points from InfluxDB.\r\n\r\n```typescript\r\nexport interface GetPointsQuery {\r\n  bucket: string;\r\n  measurement: string;\r\n  start: Date | number;\r\n  end: Date | number;\r\n  field: string | string[];\r\n  scope?: string;\r\n  tagKey?: string;\r\n  fieldTag?: AnalyticalReportField | AnalyticalReportField[];\r\n  tags?: SelectedTags;\r\n  omitColumns?: string[];\r\n  before?: BeforeAction[];\r\n  after?: AfterAction[];\r\n}\r\n```\r\n\r\n### `DataPoint`\r\n\r\nThe `DataPoint` interface represents a single data point returned from InfluxDB.\r\n\r\n```typescript\r\nexport interface DataPoint {\r\n  _time: string;\r\n  _value: number;\r\n  [key: string]: any;\r\n}\r\n```\r\n\r\n### Actions\r\n\r\nThe library uses a chain of responsibility pattern to process the data before and after the query to InfluxDB. These processing steps are called \"actions\".\r\n\r\n#### `BeforeAction`\r\n\r\n`BeforeAction` objects are executed before the query is sent to InfluxDB. They can be used to modify the `GetPointsQuery` object.\r\n\r\n#### `AfterAction`\r\n\r\n`AfterAction` objects are executed after the data has been retrieved from InfluxDB. They can be used to transform and enrich the data points.\r\n\r\n**Example:**\r\n\r\nHere is an example of how to use an `AfterAction` to calculate the average of the data points.\r\n\r\n```typescript\r\nconst query: GetPointsQuery = {\r\n  // ... other query properties\r\n  after: [\r\n    {\r\n      name: 'Average',\r\n      params: {\r\n        groupColumn: 'month',\r\n        years: [2023],\r\n      },\r\n    },\r\n  ],\r\n};\r\n```\r\n\r\n## Environment Variables\r\n\r\nThis library uses the following environment variables for configuration:\r\n\r\n-   `INFLUXDB_URL`\r\n-   `INFLUXDB_TOKEN`\r\n-   `INFLUXDB_ORG`\r\n-   `INFLUXDB_TIMEOUT`\r\n-   `INFLUXDB_QUERIES_OMIT_COLUMNS`\r\n-   `CONVERSIONS_FILE_PATH`\r\n-   `BASE_FILE_NAME`\r\n-   `MXN_USD_FIELD_KEY`\r\n-   `USD_MXN_FIELD_KEY`\r\n-   `AFTER_LINK_FILE_PATH`\r\n-   `BEFORE_LINK_FILE_PATH`\r\n-   `ACTION_DEFINITIONS_PATH`\r\n-   `ANALYTICAL_REPORTS_COLLECTION_NAME`\r\n-   `WIZARD_ID`\r\n-   `ANALYTICAL_REPORTS_STORAGE_BUCKET`\r\n-   `ANALYTICAL_REPORTS_PATH`\r\n-   `PERIODICITY_ANNUAL_LABEL`\r\n-   `PERIODICITY_AGRICULTURAL_COMMERCIAL_CYCLE`\r\n-   `PERIODICITY_SEMIANNUAL`\r\n-   `PERIODICITY_QUARTERLY`\r\n-   `PERIODICITY_MONTHLY_LABEL`\r\n-   `PERIODICITY_WEEKLY_LABEL`\r\n","readmeFilename":"README.md"}