import _ from 'lodash';
import { getBackendSrv } from '@grafana/runtime';
import { compactQuery } from '../../../utils';
import mysql from './mysql';
import postgres from './postgres';
import dbConnector, { DBConnector, DEFAULT_QUERY_LIMIT, HISTORY_TO_TABLE_MAP, TREND_TO_TABLE_MAP } from '../dbConnector';

const supportedDatabases = {
  mysql: 'mysql',
  postgres: 'postgres'
};

export class SQLConnector extends DBConnector {
  constructor(options) {
    super(options);

    this.limit = options.limit || DEFAULT_QUERY_LIMIT;
    this.sqlDialect = null;

    super.loadDBDataSource()
    .then(() => {
      this.loadSQLDialect();
    });
  }

  loadSQLDialect() {
    if (this.datasourceTypeId === supportedDatabases.postgres) {
      this.sqlDialect = postgres;
    } else {
      this.sqlDialect = mysql;
    }
  }

  /**
   * Try to invoke test query for one of Zabbix database tables.
   */
  testDataSource() {
    let testQuery = this.sqlDialect.testQuery();
    return this.invokeSQLQuery(testQuery);
  }

  getHistory(items, timeFrom, timeTill, options) {
    let {intervalMs, consolidateBy} = options;
    let intervalSec = Math.ceil(intervalMs / 1000);

    // The interval must match the time range exactly n times, otherwise
    // the resulting first and last data points will yield invalid values in the
    // calculated average value in downsampleSeries - when using consolidateBy(avg)
    let numOfIntervals = Math.ceil((timeTill - timeFrom) / intervalSec);
    intervalSec = (timeTill - timeFrom) / numOfIntervals;

    consolidateBy = consolidateBy || 'avg';
    let aggFunction = dbConnector.consolidateByFunc[consolidateBy];

    // Group items by value type and perform request for each value type
    let grouped_items = _.groupBy(items, 'value_type');
    let promises = _.map(grouped_items, (items, value_type) => {
      let itemids = _.map(items, 'itemid').join(', ');
      let table = HISTORY_TO_TABLE_MAP[value_type];
      let query = this.sqlDialect.historyQuery(itemids, table, timeFrom, timeTill, intervalSec, aggFunction);

      query = compactQuery(query);
      return this.invokeSQLQuery(query);
    });

    return Promise.all(promises).then(results => {
      return _.flatten(results);
    });
  }

  getTrends(items, timeFrom, timeTill, options) {
    let { intervalMs, consolidateBy } = options;
    let intervalSec = Math.ceil(intervalMs / 1000);

    // The interval must match the time range exactly n times, otherwise
    // the resulting first and last data points will yield invalid values in the
    // calculated average value in downsampleSeries - when using consolidateBy(avg)
    let numOfIntervals = Math.ceil((timeTill - timeFrom) / intervalSec);
    intervalSec = (timeTill - timeFrom) / numOfIntervals;

    consolidateBy = consolidateBy || 'avg';
    let aggFunction = dbConnector.consolidateByFunc[consolidateBy];

    // Group items by value type and perform request for each value type
    let grouped_items = _.groupBy(items, 'value_type');
    let promises = _.map(grouped_items, (items, value_type) => {
      let itemids = _.map(items, 'itemid').join(', ');
      let table = TREND_TO_TABLE_MAP[value_type];
      let valueColumn = _.includes(['avg', 'min', 'max', 'sum'], consolidateBy) ? consolidateBy : 'avg';
      valueColumn = dbConnector.consolidateByTrendColumns[valueColumn];
      let query = this.sqlDialect.trendsQuery(itemids, table, timeFrom, timeTill, intervalSec, aggFunction, valueColumn);

      query = compactQuery(query);
      return this.invokeSQLQuery(query);
    });

    return Promise.all(promises).then(results => {
      return _.flatten(results);
    });
  }

  invokeSQLQuery(query) {
    let queryDef = {
      refId: 'A',
      format: 'time_series',
      datasourceId: this.datasourceId,
      rawSql: query,
      maxDataPoints: this.limit
    };

    return getBackendSrv().datasourceRequest({
      url: '/api/tsdb/query',
      method: 'POST',
      data: {
        queries: [queryDef],
      }
    })
    .then(response => {
      let results = response.data.results;
      if (results['A']) {
        return results['A'].series;
      } else {
        return null;
      }
    });
  }
}