# Copyright 1999-2000 by Jeffrey Chang.  All rights reserved.
# Copyright 2008 by Michiel de Hoon.  All rights reserved.
# This code is part of the Biopython distribution and governed by its
# license.  Please see the LICENSE file that should have been included
# as part of this package.

"""Provides code to access NCBI over the WWW.

The main Entrez web page is available at:
http://www.ncbi.nlm.nih.gov/Entrez/

A list of the Entrez utilities is available at:
http://www.ncbi.nlm.nih.gov/entrez/utils/utils_index.html

Variables:
email        Set the Entrez email parameter (default is not set).
tool         Set the Entrez tool parameter (default is  biopython).

Functions:
efetch       Retrieves records in the requested format from a list of one or
             more primary IDs or from the user's environment
epost        Posts a file containing a list of primary IDs for future use in
             the user's environment to use with subsequent search strategies
esearch      Searches and retrieves primary IDs (for use in EFetch, ELink,
             and ESummary) and term translations and optionally retains
             results for future use in the user's environment.
elink        Checks for the existence of an external or Related Articles link
             from a list of one or more primary IDs.  Retrieves primary IDs
             and relevancy scores for links to Entrez databases or Related
             Articles;  creates a hyperlink to the primary LinkOut provider
             for a specific ID and database, or lists LinkOut URLs
             and Attributes for multiple IDs.
einfo        Provides field index term counts, last update, and available
             links for each database.
esummary     Retrieves document summaries from a list of primary IDs or from
             the user's environment.
egquery      Provides Entrez database counts in XML for a single search
             using Global Query.
espell       Retrieves spelling suggestions.

read         Parses the XML results returned by any of the above functions.
             Typical usage is:

             >>> from Bio import Entrez
             >>> Entrez.email = "Your.Name.Here@example.org"
             >>> handle = Entrez.einfo() # or esearch, efetch, ...
             >>> record = Entrez.read(handle)
             >>> handle.close()

             where record is now a Python dictionary or list.

parse        Parses the XML results returned by those of the above functions
             which can return multiple records - such as efetch, esummary
             and elink. Typical usage is:

             >>> handle = Entrez.efetch("pubmed", id="19304878,14630660", retmode="xml")
             >>> records = Entrez.parse(handle)
             >>> for record in records:
             ...     # each record is a Python dictionary or list.
             ...     print(record['MedlineCitation']['Article']['ArticleTitle'])
             Biopython: freely available Python tools for computational molecular biology and bioinformatics.
             PDB file parser and structure class implemented in Python.
             >>> handle.close()

             This function is appropriate only if the XML file contains
             multiple records, and is particular useful for large files.

_open        Internally used function.

"""
from __future__ import print_function

import time
import warnings
import os.path

#Importing these functions with leading underscore as not intended for reuse
from Bio._py3k import urlopen as _urlopen
from Bio._py3k import urlencode as _urlencode
from Bio._py3k import HTTPError as _HTTPError

from Bio._py3k import _binary_to_string_handle, _as_bytes

email = None
tool = "biopython"


# XXX retmode?
def epost(db, **keywds):
    """Post a file of identifiers for future use.

    Posts a file containing a list of UIs for future use in the user's
    environment to use with subsequent search strategies.

    See the online documentation for an explanation of the parameters:
    http://www.ncbi.nlm.nih.gov/entrez/query/static/epost_help.html

    Return a handle to the results.

    Raises an IOError exception if there's a network error.
    """
    cgi = 'http://eutils.ncbi.nlm.nih.gov/entrez/eutils/epost.fcgi'
    variables = {'db': db}
    variables.update(keywds)
    return _open(cgi, variables, post=True)


def efetch(db, **keywords):
    """Fetches Entrez results which are returned as a handle.

    EFetch retrieves records in the requested format from a list of one or
    more UIs or from user's environment.

    See the online documentation for an explanation of the parameters:
    http://www.ncbi.nlm.nih.gov/entrez/query/static/efetch_help.html

    Return a handle to the results.

    Raises an IOError exception if there's a network error.

    Short example:

    >>> from Bio import Entrez
    >>> Entrez.email = "Your.Name.Here@example.org"
    >>> handle = Entrez.efetch(db="nucleotide", id="57240072", rettype="gb", retmode="text")
    >>> print(handle.readline().strip())
    LOCUS       AY851612                 892 bp    DNA     linear   PLN 10-APR-2007
    >>> handle.close()

    Warning: The NCBI changed the default retmode in Feb 2012, so many
    databases which previously returned text output now give XML.
    """
    cgi = 'http://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi'
    variables = {'db': db}
    variables.update(keywords)
    post = False
    try:
        ids = variables["id"]
    except KeyError:
        pass
    else:
        if isinstance(ids, list):
            ids = ",".join(ids)
            variables["id"] = ids
        if ids.count(",") >= 200:
            # NCBI prefers an HTTP POST instead of an HTTP GET if there are
            # more than about 200 IDs
            post = True
    return _open(cgi, variables, post)


def esearch(db, term, **keywds):
    """ESearch runs an Entrez search and returns a handle to the results.

    ESearch searches and retrieves primary IDs (for use in EFetch, ELink
    and ESummary) and term translations, and optionally retains results
    for future use in the user's environment.

    See the online documentation for an explanation of the parameters:
    http://www.ncbi.nlm.nih.gov/entrez/query/static/esearch_help.html

    Return a handle to the results which are always in XML format.

    Raises an IOError exception if there's a network error.

    Short example:

    >>> from Bio import Entrez
    >>> Entrez.email = "Your.Name.Here@example.org"
    >>> handle = Entrez.esearch(db="nucleotide", retmax=10, term="opuntia[ORGN] accD")
    >>> record = Entrez.read(handle)
    >>> handle.close()
    >>> record["Count"] >= 2
    True
    >>> "156535671" in record["IdList"]
    True
    >>> "156535673" in record["IdList"]
    True

    """
    cgi = 'http://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi'
    variables = {'db': db,
                 'term': term}
    variables.update(keywds)
    return _open(cgi, variables)


def elink(**keywds):
    """ELink checks for linked external articles and returns a handle.

    ELink checks for the existence of an external or Related Articles link
    from a list of one or more primary IDs;  retrieves IDs and relevancy
    scores for links to Entrez databases or Related Articles; creates a
    hyperlink to the primary LinkOut provider for a specific ID and
    database, or lists LinkOut URLs and attributes for multiple IDs.

    See the online documentation for an explanation of the parameters:
    http://www.ncbi.nlm.nih.gov/entrez/query/static/elink_help.html

    Return a handle to the results, by default in XML format.

    Raises an IOError exception if there's a network error.

    This example finds articles related to the Biopython application
    note's entry in the PubMed database:

    >>> from Bio import Entrez
    >>> Entrez.email = "Your.Name.Here@example.org"
    >>> pmid = "19304878"
    >>> handle = Entrez.elink(dbfrom="pubmed", id=pmid, linkname="pubmed_pubmed")
    >>> record = Entrez.read(handle)
    >>> handle.close()
    >>> print(record[0]["LinkSetDb"][0]["LinkName"])
    pubmed_pubmed
    >>> linked = [link["Id"] for link in record[0]["LinkSetDb"][0]["Link"]]
    >>> "17121776" in linked
    True

    This is explained in much more detail in the Biopython Tutorial.
    """
    cgi = 'http://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi'
    variables = {}
    variables.update(keywds)
    return _open(cgi, variables)


def einfo(**keywds):
    """EInfo returns a summary of the Entez databases as a results handle.

    EInfo provides field names, index term counts, last update, and
    available links for each Entrez database.

    See the online documentation for an explanation of the parameters:
    http://www.ncbi.nlm.nih.gov/entrez/query/static/einfo_help.html

    Return a handle to the results, by default in XML format.

    Raises an IOError exception if there's a network error.

    Short example:

    >>> from Bio import Entrez
    >>> Entrez.email = "Your.Name.Here@example.org"
    >>> record = Entrez.read(Entrez.einfo())
    >>> 'pubmed' in record['DbList']
    True

    """
    cgi = 'http://eutils.ncbi.nlm.nih.gov/entrez/eutils/einfo.fcgi'
    variables = {}
    variables.update(keywds)
    return _open(cgi, variables)


def esummary(**keywds):
    """ESummary retrieves document summaries as a results handle.

    ESummary retrieves document summaries from a list of primary IDs or
    from the user's environment.

    See the online documentation for an explanation of the parameters:
    http://www.ncbi.nlm.nih.gov/entrez/query/static/esummary_help.html

    Return a handle to the results, by default in XML format.

    Raises an IOError exception if there's a network error.

    This example discovers more about entry 30367 in the journals database:

    >>> from Bio import Entrez
    >>> Entrez.email = "Your.Name.Here@example.org"
    >>> handle = Entrez.esummary(db="journals", id="30367")
    >>> record = Entrez.read(handle)
    >>> handle.close()
    >>> print(record[0]["Id"])
    30367
    >>> print(record[0]["Title"])
    Computational biology and chemistry

    """
    cgi = 'http://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi'
    variables = {}
    variables.update(keywds)
    return _open(cgi, variables)


def egquery(**keywds):
    """EGQuery provides Entrez database counts for a global search.

    EGQuery provides Entrez database counts in XML for a single search
    using Global Query.

    See the online documentation for an explanation of the parameters:
    http://www.ncbi.nlm.nih.gov/entrez/query/static/egquery_help.html

    Return a handle to the results in XML format.

    Raises an IOError exception if there's a network error.

    This quick example based on a longer version from the Biopython
    Tutorial just checks there are over 60 matches for 'Biopython'
    in PubMedCentral:

    >>> from Bio import Entrez
    >>> Entrez.email = "Your.Name.Here@example.org"
    >>> handle = Entrez.egquery(term="biopython")
    >>> record = Entrez.read(handle)
    >>> handle.close()
    >>> for row in record["eGQueryResult"]:
    ...     if "pmc" in row["DbName"]:
    ...         print(row["Count"] > 60)
    True

    """
    cgi = 'http://eutils.ncbi.nlm.nih.gov/entrez/eutils/egquery.fcgi'
    variables = {}
    variables.update(keywds)
    return _open(cgi, variables)


def espell(**keywds):
    """ESpell retrieves spelling suggestions, returned in a results handle.

    ESpell retrieves spelling suggestions, if available.

    See the online documentation for an explanation of the parameters:
    http://www.ncbi.nlm.nih.gov/entrez/query/static/espell_help.html

    Return a handle to the results, by default in XML format.

    Raises an IOError exception if there's a network error.

    Short example:

    >>> from Bio import Entrez
    >>> Entrez.email = "Your.Name.Here@example.org"
    >>> record = Entrez.read(Entrez.espell(term="biopythooon"))
    >>> print(record["Query"])
    biopythooon
    >>> print(record["CorrectedQuery"])
    biopython

    """
    cgi = 'http://eutils.ncbi.nlm.nih.gov/entrez/eutils/espell.fcgi'
    variables = {}
    variables.update(keywds)
    return _open(cgi, variables)


def read(handle, validate=True):
    """Parses an XML file from the NCBI Entrez Utilities into python objects.

    This function parses an XML file created by NCBI's Entrez Utilities,
    returning a multilevel data structure of Python lists and dictionaries.
    Most XML files returned by NCBI's Entrez Utilities can be parsed by
    this function, provided its DTD is available. Biopython includes the
    DTDs for most commonly used Entrez Utilities.

    If validate is True (default), the parser will validate the XML file
    against the DTD, and raise an error if the XML file contains tags that
    are not represented in the DTD. If validate is False, the parser will
    simply skip such tags.

    Whereas the data structure seems to consist of generic Python lists,
    dictionaries, strings, and so on, each of these is actually a class
    derived from the base type. This allows us to store the attributes
    (if any) of each element in a dictionary my_element.attributes, and
    the tag name in my_element.tag.
    """
    from .Parser import DataHandler
    handler = DataHandler(validate)
    record = handler.read(handle)
    return record


def parse(handle, validate=True):
    """Parses an XML file from the NCBI Entrez Utilities into python objects.

    This function parses an XML file created by NCBI's Entrez Utilities,
    returning a multilevel data structure of Python lists and dictionaries.
    This function is suitable for XML files that (in Python) can be represented
    as a list of individual records. Whereas 'read' reads the complete file
    and returns a single Python list, 'parse' is a generator function that
    returns the records one by one. This function is therefore particularly
    useful for parsing large files.

    Most XML files returned by NCBI's Entrez Utilities can be parsed by
    this function, provided its DTD is available. Biopython includes the
    DTDs for most commonly used Entrez Utilities.

    If validate is True (default), the parser will validate the XML file
    against the DTD, and raise an error if the XML file contains tags that
    are not represented in the DTD. If validate is False, the parser will
    simply skip such tags.

    Whereas the data structure seems to consist of generic Python lists,
    dictionaries, strings, and so on, each of these is actually a class
    derived from the base type. This allows us to store the attributes
    (if any) of each element in a dictionary my_element.attributes, and
    the tag name in my_element.tag.
    """
    from .Parser import DataHandler
    handler = DataHandler(validate)
    records = handler.parse(handle)
    return records


def _open(cgi, params={}, post=False):
    """Helper function to build the URL and open a handle to it (PRIVATE).

    Open a handle to Entrez.  cgi is the URL for the cgi script to access.
    params is a dictionary with the options to pass to it.  Does some
    simple error checking, and will raise an IOError if it encounters one.

    This function also enforces the "up to three queries per second rule"
    to avoid abusing the NCBI servers.
    """
    # NCBI requirement: At most three queries per second.
    # Equivalently, at least a third of second between queries
    delay = 0.333333334
    current = time.time()
    wait = _open.previous + delay - current
    if wait > 0:
        time.sleep(wait)
        _open.previous = current + wait
    else:
        _open.previous = current
    # Remove None values from the parameters
    for key, value in list(params.items()):
        if value is None:
            del params[key]
    # Tell Entrez that we are using Biopython (or whatever the user has
    # specified explicitly in the parameters or by changing the default)
    if not "tool" in params:
        params["tool"] = tool
    # Tell Entrez who we are
    if not "email" in params:
        if email is not None:
            params["email"] = email
        else:
            warnings.warn("""
Email address is not specified.

To make use of NCBI's E-utilities, NCBI requires you to specify your
email address with each request.  As an example, if your email address
is A.N.Other@example.com, you can specify it as follows:
   from Bio import Entrez
   Entrez.email = 'A.N.Other@example.com'
In case of excessive usage of the E-utilities, NCBI will attempt to contact
a user at the email address provided before blocking access to the
E-utilities.""", UserWarning)
    # Open a handle to Entrez.
    options = _urlencode(params, doseq=True)
    #print cgi + "?" + options
    try:
        if post:
            #HTTP POST
            handle = _urlopen(cgi, data=_as_bytes(options))
        else:
            #HTTP GET
            cgi += "?" + options
            handle = _urlopen(cgi)
    except _HTTPError as exception:
        raise exception

    return _binary_to_string_handle(handle)

_open.previous = 0


def _test():
    """Run the module's doctests (PRIVATE)."""
    print("Running doctests...")
    import doctest
    doctest.testmod()
    print("Done")

if __name__ == "__main__":
    _test()