#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function

from os.path import dirname, basename, abspath
from itertools import chain
from datetime import datetime
import logging

import git

from elasticsearch import Elasticsearch
from elasticsearch.helpers import bulk, streaming_bulk

def create_git_index(client, index):
    # create empty index
    client.indices.create(
        index=index,
        body={
          'settings': {
            # just one shard, no replicas for testing
            'number_of_shards': 1,
            'number_of_replicas': 0,

            # custom analyzer for analyzing file paths
            'analysis': {
              'analyzer': {
                'file_path': {
                  'type': 'custom',
                  'tokenizer': 'path_hierarchy',
                  'filter': ['lowercase']
                }
              }
            }
          }
        },
        # ignore already existing index
        ignore=400
    )

    # we will use user on several places
    user_mapping = {
      'properties': {
        'name': {
          'type': 'multi_field',
          'fields': {
            'raw': {'type' : 'string', 'index' : 'not_analyzed'},
            'name': {'type' : 'string'}
          }
        }
      }
    }

    client.indices.put_mapping(
        index=index,
        doc_type='repos',
        body={
          'repos': {
            'properties': {
              'owner': user_mapping,
              'created_at': {'type': 'date'},
              'description': {
                'type': 'string',
                'analyzer': 'snowball',
              },
              'tags': {
                'type': 'string',
                'index': 'not_analyzed'
              }
            }
          }
        }
    )

    client.indices.put_mapping(
        index=index,
        doc_type='commits',
        body={
          'commits': {
            '_parent': {
              'type': 'repos'
            },
            'properties': {
              'author': user_mapping,
              'authored_date': {'type': 'date'},
              'committer': user_mapping,
              'committed_date': {'type': 'date'},
              'parent_shas': {'type': 'string', 'index' : 'not_analyzed'},
              'description': {'type': 'string', 'analyzer': 'snowball'},
              'files': {'type': 'string', 'analyzer': 'file_path'}
            }
          }
        }
    )

def parse_commits(repo, name):
    """
    Go through the git repository log and generate a document per commit
    containing all the metadata.
    """
    for commit in repo.log():
        yield {
            '_id': commit.id,
            '_parent': name,
            'committed_date': datetime(*commit.committed_date[:6]),
            'committer': {
                'name': commit.committer.name,
                'email': commit.committer.email,
            },
            'authored_date': datetime(*commit.authored_date[:6]),
            'author': {
                'name': commit.author.name,
                'email': commit.author.email,
            },
            'description': commit.message,
            'parent_shas': [p.id for p in commit.parents],
            # we only care about the filenames, not the per-file stats
            'files': list(chain(commit.stats.files)),
            'stats': commit.stats.total,
        }

def load_repo(client, path=None, index='git'):
    """
    Parse a git repository with all it's commits and load it into elasticsearch
    using `client`. If the index doesn't exist it will be created.
    """
    path = dirname(dirname(abspath(__file__))) if path is None else path
    repo_name = basename(path)
    repo = git.Repo(path)

    create_git_index(client, index)

    # create the parent document in case it doesn't exist
    client.create(
        index=index,
        doc_type='repos',
        id=repo_name,
        body={},
        ignore=409 # 409 - conflict - would be returned if the document is already there
    )

    # we let the streaming bulk continuously process the commits as they come
    # in - since the `parse_commits` function is a generator this will avoid
    # loading all the commits into memory
    for ok, result in streaming_bulk(
            client,
            parse_commits(repo, repo_name),
            index=index,
            doc_type='commits',
            chunk_size=50 # keep the batch sizes small for appearances only
        ):
        action, result = result.popitem()
        doc_id = '/%s/commits/%s' % (index, result['_id'])
        # process the information from ES whether the document has been
        # successfully indexed
        if not ok:
            print('Failed to %s document %s: %r' % (action, doc_id, result))
        else:
            print(doc_id)


# we manually create es repo document and update elasticsearch-py to include metadata
REPO_ACTIONS = [
    {'_type': 'repos', '_id': 'elasticsearch', '_source': {
        'owner': {'name': 'Shay Bannon', 'email': 'kimchy@gmail.com'},
        'created_at': datetime(2010, 2, 8, 15, 22, 27),
        'tags': ['search', 'distributed', 'lucene'],
        'description': 'You know, for search.'}
    },

    {'_type': 'repos', '_id': 'elasticsearch-py', '_op_type': 'update', 'doc': {
        'owner': {'name': 'Honza Král', 'email': 'honza.kral@gmail.com'},
        'created_at': datetime(2013, 5, 1, 16, 37, 32),
        'tags': ['elasticsearch', 'search', 'python', 'client'],
        'description': 'For searching snakes.'}
    },
]

if __name__ == '__main__':
    # get trace logger and set level
    tracer = logging.getLogger('elasticsearch.trace')
    tracer.setLevel(logging.INFO)
    tracer.addHandler(logging.FileHandler('/tmp/es_trace.log'))

    # instantiate es client, connects to localhost:9200 by default
    es = Elasticsearch()

    # we load the repo and all commits
    load_repo(es)

    # run the bulk operations
    success, _ = bulk(es, REPO_ACTIONS, index='git', raise_on_error=True)
    print('Performed %d actions' % success)

    # now we can retrieve the documents
    es_repo = es.get(index='git', doc_type='repos', id='elasticsearch')
    print('%s: %s' % (es_repo['_id'], es_repo['_source']['description']))

    # update - add java to es tags
    es.update(
        index='git',
        doc_type='repos',
        id='elasticsearch',
        body={
          "script" : "ctx._source.tags += tag",
          "params" : {
            "tag" : "java"
          }
        }
    )

    # refresh to make the documents available for search
    es.indices.refresh(index='git')

    # and now we can count the documents
    print(es.count(index='git')['count'], 'documents in index')