from __future__ import absolute_import, division, print_function

import csv
import StringIO  # Todo: Use cStringIO?

import gc

import cPickle as pickle

import simplejson as json
#import json
import yaml

from redis import Redis
Redis = Redis()

import flask
import sqlalchemy
#import config

from wqflask import app

from flask import render_template, request, make_response, Response, Flask, g, config, jsonify

from wqflask import search_results
from base.data_set import DataSet    # Used by YAML in marker_regression
from wqflask.show_trait import show_trait
from wqflask.show_trait import export_trait_data
from wqflask.marker_regression import marker_regression
from wqflask.correlation import show_corr_results
from utility import temp_data

from wqflask.dataSharing import SharingInfo, SharingInfoPage

from base import webqtlFormData
from utility.benchmark import Bench

from pprint import pformat as pf

#import logging
#logging.basicConfig(filename="/tmp/gn_log", level=logging.INFO)
#_log = logging.getLogger("correlation")

@app.before_request
def connect_db():
    g.db = sqlalchemy.create_engine(app.config['DB_URI'])

@app.route("/")
def index_page():
    print("Sending index_page")
    return render_template("index_page.html")

@app.route("/data_sharing")
def data_sharing_page():
    print("In data_sharing")
    fd = webqtlFormData.webqtlFormData(request.args)
    print("1Have fd")
    sharingInfoObject = SharingInfo.SharingInfo(request.args['GN_AccessionId'], None)
    info, htmlfilelist = sharingInfoObject.getBody(infoupdate="")
    print("type(htmlfilelist):", type(htmlfilelist))
    htmlfilelist = htmlfilelist.encode("utf-8")
    #template_vars = SharingInfo.SharingInfo(request.args['GN_AccessionId'], None)
    print("1 Made it to rendering")
    return render_template("data_sharing.html",
                            info=info,
                            htmlfilelist=htmlfilelist)


@app.route("/search")
def search_page():
    print("in search_page")
    if 'info_database' in request.args:
        print("Going to sharing_info_page")
        template_vars = sharing_info_page()
        if template_vars.redirect_url:
            print("Going to redirect")
            return flask.redirect(template_vars.redirect_url)
        else:
            return render_template("data_sharing.html", **template_vars.__dict__)
    else:
        key = "search_results:v2:" + json.dumps(request.args, sort_keys=True)
        print("key is:", pf(key))
        with Bench("Loading cache"):
            result = Redis.get(key)
            
        if result:
            print("Cache hit!!!")
            with Bench("Loading results"):
                result = pickle.loads(result)
        else:
            print("calling search_results.SearchResultPage")
            the_search = search_results.SearchResultPage(request.args)
            result = the_search.__dict__
            
            print("result: ", pf(result))
            Redis.set(key, pickle.dumps(result))
            Redis.expire(key, 60*60)

        if result['quick']:
            return render_template("quick_search.html", **result)
        else:
            return render_template("search_result_page.html", **result)


@app.route("/whats_new")
def whats_new_page():
    #variables = whats_new.whats_new()
    with open("/home/sam/gene/wqflask/wqflask/yaml_data/whats_new.yaml") as fh:
        contents = fh.read()
        yamilized = yaml.safe_load(contents)
        news_items = yamilized['news']
    for news_item in news_items:
        print("\nnews_item is: %s\n" % (news_item))
    return render_template("whats_new.html", news_items=news_items)

@app.route('/export_trait_csv', methods=('POST',))
def export_trait_excel():
    """Excel file consisting of the sample data from the trait data and analysis page"""
    print("In export_trait_excel")
    print("request.form:", request.form)
    sample_data = export_trait_data.export_sample_table(request.form)

    print("sample_data - type: %s -- size: %s" % (type(sample_data), len(sample_data)))

    buff = StringIO.StringIO()
    writer = csv.writer(buff)
    for row in sample_data:
        writer.writerow(row)
    csv_data = buff.getvalue()
    buff.close()

    return Response(csv_data,
                    mimetype='text/csv',
                    headers={"Content-Disposition":"attachment;filename=test.csv"})

@app.route('/export_trait_csv', methods=('POST',))
def export_trait_csv():
    """CSV file consisting of the sample data from the trait data and analysis page"""
    print("In export_trait_csv")
    print("request.form:", request.form)
    sample_data = export_trait_data.export_sample_table(request.form)

    print("sample_data - type: %s -- size: %s" % (type(sample_data), len(sample_data)))

    buff = StringIO.StringIO()
    writer = csv.writer(buff)
    for row in sample_data:
        writer.writerow(row)
    csv_data = buff.getvalue()
    buff.close()

    return Response(csv_data,
                    mimetype='text/csv',
                    headers={"Content-Disposition":"attachment;filename=test.csv"})

@app.route("/show_trait")
def show_trait_page():
    # Here it's currently too complicated not to use an fd that is a webqtlFormData
    #fd = webqtlFormData.webqtlFormData(request.args)
    #print("stp y1:", pf(vars(fd)))
    template_vars = show_trait.ShowTrait(request.args)
    #print("js_data before dump:", template_vars.js_data)
    template_vars.js_data = json.dumps(template_vars.js_data,
                                       default=json_default_handler,
                                       indent="   ")
    # Sorting the keys messes up the ordered dictionary, so don't do that
                                       #sort_keys=True)

    #print("js_data after dump:", template_vars.js_data)
    #print("show_trait template_vars:", pf(template_vars.__dict__))
    return render_template("show_trait.html", **template_vars.__dict__)

@app.route("/marker_regression", methods=('POST',))
def marker_regression_page():
    initial_start_vars = request.form
    temp_uuid = initial_start_vars['temp_uuid']
    wanted = (
        'trait_id',
        'dataset',
        'suggestive'
    )
    
    start_vars = {}
    for key, value in initial_start_vars.iteritems():
        if key in wanted or key.startswith(('value:')):
            start_vars[key] = value

    version = "v14"
    key = "marker_regression:{}:".format(version) + json.dumps(start_vars, sort_keys=True)
    print("key is:", pf(key))
    with Bench("Loading cache"):
        result = Redis.get(key)
    
    #print("************************ Starting result *****************")
    #print("result is [{}]: {}".format(type(result), result))
    #print("************************ Ending result ********************")
    
    if result:
        print("Cache hit!!!")
        with Bench("Loading results"):
            result = pickle.loads(result)
    else:
        print("Cache miss!!!")
        template_vars = marker_regression.MarkerRegression(start_vars, temp_uuid)

        template_vars.js_data = json.dumps(template_vars.js_data,
                                           default=json_default_handler,
                                           indent="   ")

        result = template_vars.__dict__
     
        #for item in template_vars.__dict__.keys():
        #    print("  ---**--- {}: {}".format(type(template_vars.__dict__[item]), item))
        
        #causeerror
        Redis.set(key, pickle.dumps(result))
        Redis.expire(key, 60*60)
        
    with Bench("Rendering template"):
        rendered_template = render_template("marker_regression.html", **result)
    
    return rendered_template


@app.route("/corr_compute", methods=('POST',))
def corr_compute_page():
    print("In corr_compute, request.form is:", pf(request.form))
    #fd = webqtlFormData.webqtlFormData(request.form)
    template_vars = show_corr_results.CorrelationResults(request.form)
    return render_template("correlation_page.html", **template_vars.__dict__)

@app.route("/int_mapping", methods=('POST',))
def interval_mapping_page():
    template_vars = interval_mapping.IntervalMapping(request.args)
    return render_template("interval_mapping.html", **template_vars.__dict__)

# Todo: Can we simplify this? -Sam
def sharing_info_page():
    """Info page displayed when the user clicks the "Info" button next to the dataset selection"""
    print("In sharing_info_page")
    fd = webqtlFormData.webqtlFormData(request.args)
    template_vars = SharingInfoPage.SharingInfoPage(fd)
    return template_vars


@app.route("/get_temp_data")
def get_temp_data():
    temp_uuid = request.args['key']
    return flask.jsonify(temp_data.TempData(temp_uuid).get_all())


def json_default_handler(obj):
    '''Based on http://stackoverflow.com/a/2680060/1175849'''
    # Handle datestamps
    if hasattr(obj, 'isoformat'):
        return obj.isoformat()
    # Handle integer keys for dictionaries
    elif isinstance(obj, int):
        return str(int)
    # Handle custom objects
    if hasattr(obj, '__dict__'):
        return obj.__dict__
    #elif type(obj) == "Dataset":
    #     print("Not going to serialize Dataset")
    #    return None
    else:
        raise TypeError, 'Object of type %s with value of %s is not JSON serializable' % (
            type(obj), repr(obj))
    
    
#@app.after_request
#def after_request(response):
#    gc.collect()