def remove(args, parser):
if not (args.all or args.package_names):
raise CondaValueError('no package names supplied,\n'
' try "mamba remove -h" for more details')
prefix = context.target_prefix
check_non_admin()
init_api_context()
if args.all and prefix == context.default_prefix:
raise CondaEnvironmentError("cannot remove current environment. \
deactivate and run mamba remove again")
if args.all and path_is_clean(prefix):
# full environment removal was requested, but environment doesn't exist anyway
return 0
if args.all:
if prefix == context.root_prefix:
raise CondaEnvironmentError(
'cannot remove root environment,\n'
' add -n NAME or -p PREFIX option')
print("\nRemove all packages in environment %s:\n" % prefix,
file=sys.stderr)
if 'package_names' in args:
stp = PrefixSetup(
target_prefix=prefix,
unlink_precs=tuple(PrefixData(prefix).iter_records()),
link_precs=(),
remove_specs=(),
update_specs=(),
neutered_specs=(),
)
txn = UnlinkLinkTransaction(stp)
try:
handle_txn(txn, prefix, args, False, True)
except PackagesNotFoundError:
print(
"No packages found in %s. Continuing environment removal" %
prefix)
rm_rf(prefix, clean_empty_parents=True)
unregister_env(prefix)
return
else:
if args.features:
specs = tuple(
MatchSpec(track_features=f) for f in set(args.package_names))
else:
specs = [s for s in specs_from_args(args.package_names)]
if not context.quiet:
print("Removing specs: {}".format(
[s.conda_build_form() for s in specs]))
installed_json_f = get_installed_jsonfile(prefix)
mamba_solve_specs = [s.conda_build_form() for s in specs]
solver_options.append((api.SOLVER_FLAG_ALLOW_UNINSTALL, 1))
pool = api.Pool()
repos = []
# add installed
if use_mamba_experimental:
prefix_data = api.PrefixData(context.target_prefix)
prefix_data.load()
repo = api.Repo(pool, prefix_data)
repos.append(repo)
else:
repo = api.Repo(pool, "installed", installed_json_f.name, "")
repo.set_installed()
repos.append(repo)
solver = api.Solver(pool, solver_options)
solver.add_jobs(mamba_solve_specs, api.SOLVER_ERASE)
success = solver.solve()
if not success:
print(solver.problems_to_str())
exit_code = 1
return exit_code
package_cache = api.MultiPackageCache(context.pkgs_dirs)
transaction = api.Transaction(solver, package_cache)
downloaded = transaction.prompt(
PackageCacheData.first_writable().pkgs_dir, repos)
if not downloaded:
exit(0)
mmb_specs, to_link, to_unlink = transaction.to_conda()
transaction.log_json()
specs_to_add = [MatchSpec(m) for m in mmb_specs[0]]
specs_to_remove = [MatchSpec(m) for m in mmb_specs[1]]
conda_transaction = to_txn(specs_to_add, specs_to_remove, prefix,
to_link, to_unlink)
handle_txn(conda_transaction, prefix, args, False, True)
def install(args, parser, command="install"):
"""
mamba install, mamba update, and mamba create
"""
context.validate_configuration()
check_non_admin()
init_api_context(use_mamba_experimental)
newenv = bool(command == "create")
isinstall = bool(command == "install")
solver_task = api.SOLVER_INSTALL
isupdate = bool(command == "update")
if isupdate:
solver_task = api.SOLVER_UPDATE
solver_options.clear()
if newenv:
ensure_name_or_prefix(args, command)
prefix = context.target_prefix
if newenv:
check_prefix(prefix, json=context.json)
if context.force_32bit and prefix == context.root_prefix:
raise CondaValueError("cannot use CONDA_FORCE_32BIT=1 in base env")
if isupdate and not (args.file or args.packages or context.update_modifier
== UpdateModifier.UPDATE_ALL):
raise CondaValueError("""no package names supplied
# If you want to update to a newer version of Anaconda, type:
#
# $ conda update --prefix %s anaconda
""" % prefix)
if not newenv:
if isdir(prefix):
if on_win:
delete_trash(prefix)
if not isfile(join(prefix, "conda-meta", "history")):
if paths_equal(prefix, context.conda_prefix):
raise NoBaseEnvironmentError()
else:
if not path_is_clean(prefix):
raise DirectoryNotACondaEnvironmentError(prefix)
else:
# fall-through expected under normal operation
pass
else:
if hasattr(args, "mkdir") and args.mkdir:
try:
mkdir_p(prefix)
except EnvironmentError as e:
raise CondaOSError("Could not create directory: %s" %
prefix,
caused_by=e)
else:
raise EnvironmentLocationNotFound(prefix)
prefix = context.target_prefix
#############################
# Get SPECS #
#############################
args_packages = [s.strip("\"'") for s in args.packages]
if newenv and not args.no_default_packages:
# Override defaults if they are specified at the command line
# TODO: rework in 4.4 branch using MatchSpec
args_packages_names = [
pkg.replace(" ", "=").split("=", 1)[0] for pkg in args_packages
]
for default_pkg in context.create_default_packages:
default_pkg_name = default_pkg.replace(" ", "=").split("=", 1)[0]
if default_pkg_name not in args_packages_names:
args_packages.append(default_pkg)
num_cp = sum(s.endswith(".tar.bz2") for s in args_packages)
if num_cp:
if num_cp == len(args_packages):
explicit(args_packages,
prefix,
verbose=not (context.quiet or context.json))
return
else:
raise CondaValueError(
"cannot mix specifications with conda package"
" filenames")
specs = []
index_args = {
"use_cache": args.use_index_cache,
"channel_urls": context.channels,
"unknown": args.unknown,
"prepend": not args.override_channels,
"use_local": args.use_local,
}
if args.file:
file_specs = []
for fpath in args.file:
try:
file_specs += specs_from_url(fpath, json=context.json)
except UnicodeError:
raise CondaValueError(
"Error reading file, file should be a text file containing"
" packages \nconda create --help for details")
if "@EXPLICIT" in file_specs:
explicit(
file_specs,
prefix,
verbose=not (context.quiet or context.json),
index_args=index_args,
)
return
specs.extend([MatchSpec(s) for s in file_specs])
specs.extend(specs_from_args(args_packages, json=context.json))
# update channels from package specs (e.g. mychannel::mypackage adds mychannel)
channels = [c for c in context.channels]
for spec in specs:
# CONDA TODO: correct handling for subdir isn't yet done
spec_channel = spec.get_exact_value("channel")
if spec_channel and spec_channel not in channels:
channels.append(spec_channel)
index_args["channel_urls"] = channels
index = get_index(
channel_urls=index_args["channel_urls"],
prepend=index_args["prepend"],
platform=None,
use_local=index_args["use_local"],
use_cache=index_args["use_cache"],
unknown=index_args["unknown"],
prefix=prefix,
)
channel_json = []
strict_priority = context.channel_priority == ChannelPriority.STRICT
subprio_index = len(index)
if strict_priority:
# first, count unique channels
n_channels = len(set([channel.canonical_name for _, channel in index]))
current_channel = index[0][1].canonical_name
channel_prio = n_channels
for subdir, chan in index:
# add priority here
if strict_priority:
if chan.canonical_name != current_channel:
channel_prio -= 1
current_channel = chan.canonical_name
priority = channel_prio
else:
priority = 0
if strict_priority:
subpriority = 0 if chan.platform == "noarch" else 1
else:
subpriority = subprio_index
subprio_index -= 1
if not subdir.loaded() and chan.platform != "noarch":
# ignore non-loaded subdir if channel is != noarch
continue
if context.verbosity != 0:
print("Channel: {}, prio: {} : {}".format(chan, priority,
subpriority))
print("Cache path: ", subdir.cache_path())
channel_json.append((chan, subdir, priority, subpriority))
installed_json_f, installed_pkg_recs = get_installed_jsonfile(prefix)
if isinstall and args.revision:
get_revision(args.revision, json=context.json)
elif isinstall and not (args.file or args_packages):
raise CondaValueError(
"too few arguments, "
"must supply command line package specs or --file")
installed_names = [i_rec.name for i_rec in installed_pkg_recs]
# for 'conda update', make sure the requested specs actually exist in the prefix
# and that they are name-only specs
if isupdate and context.update_modifier == UpdateModifier.UPDATE_ALL:
for i in installed_names:
if i != "python":
specs.append(MatchSpec(i))
prefix_data = PrefixData(prefix)
for s in args_packages:
s = MatchSpec(s)
if s.name == "python":
specs.append(s)
if not s.is_name_only_spec:
raise CondaValueError("Invalid spec for 'conda update': %s\n"
"Use 'conda install' instead." % s)
if not prefix_data.get(s.name, None):
raise PackageNotInstalledError(prefix, s.name)
elif context.update_modifier == UpdateModifier.UPDATE_DEPS:
# find the deps for each package and add to the update job
# solver_task |= api.SOLVER_FORCEBEST
final_specs = specs
for spec in specs:
prec = installed_pkg_recs[installed_names.index(spec.name)]
for dep in prec.depends:
ms = MatchSpec(dep)
if ms.name != "python":
final_specs.append(MatchSpec(ms.name))
specs = set(final_specs)
if newenv and args.clone:
if args.packages:
raise TooManyArgumentsError(
0,
len(args.packages),
list(args.packages),
"did not expect any arguments for --clone",
)
clone(
args.clone,
prefix,
json=context.json,
quiet=(context.quiet or context.json),
index_args=index_args,
)
touch_nonadmin(prefix)
print_activate(args.name if args.name else prefix)
return
if not (context.quiet or context.json):
print("\nLooking for: {}\n".format([str(s) for s in specs]))
spec_names = [s.name for s in specs]
# If python was not specified, check if it is installed.
# If yes, add the installed python to the specs to prevent updating it.
python_constraint = None
if "python" not in spec_names:
if "python" in installed_names:
i = installed_names.index("python")
version = installed_pkg_recs[i].version
python_constraint = MatchSpec("python==" +
version).conda_build_form()
mamba_solve_specs = [s.__str__() for s in specs]
pool = api.Pool()
repos = []
if use_mamba_experimental or context.force_reinstall:
prefix_data = api.PrefixData(context.target_prefix)
prefix_data.load()
# add installed
if use_mamba_experimental:
repo = api.Repo(pool, prefix_data)
repos.append(repo)
else:
repo = api.Repo(pool, "installed", installed_json_f.name, "")
repo.set_installed()
repos.append(repo)
for _, subdir, priority, subpriority in channel_json:
repo = subdir.create_repo(pool)
repo.set_priority(priority, subpriority)
repos.append(repo)
if context.force_reinstall:
solver = api.Solver(pool, solver_options, prefix_data)
else:
solver = api.Solver(pool, solver_options)
solver.set_postsolve_flags([
(api.MAMBA_NO_DEPS, context.deps_modifier == DepsModifier.NO_DEPS),
(api.MAMBA_ONLY_DEPS, context.deps_modifier == DepsModifier.ONLY_DEPS),
(api.MAMBA_FORCE_REINSTALL, context.force_reinstall),
])
solver.add_jobs(mamba_solve_specs, solver_task)
if not context.force_reinstall:
# as a security feature this will _always_ attempt to upgrade certain packages
for a_pkg in [_.name for _ in context.aggressive_update_packages]:
if a_pkg in installed_names:
solver.add_jobs([a_pkg], api.SOLVER_UPDATE)
if python_constraint:
solver.add_pin(python_constraint)
pinned_specs = get_pinned_specs(context.target_prefix)
if pinned_specs:
conda_prefix_data = PrefixData(context.target_prefix)
for s in pinned_specs:
x = conda_prefix_data.query(s.name)
if x:
for el in x:
if not s.match(el):
print(
"Your pinning does not match what's currently installed."
" Please remove the pin and fix your installation")
print(" Pin: {}".format(s))
print(" Currently installed: {}".format(el))
exit(1)
solver.add_pin(str(s))
success = solver.solve()
if not success:
print(solver.problems_to_str())
exit_code = 1
return exit_code
package_cache = api.MultiPackageCache(context.pkgs_dirs)
transaction = api.Transaction(solver, package_cache)
mmb_specs, to_link, to_unlink = transaction.to_conda()
specs_to_add = [MatchSpec(m) for m in mmb_specs[0]]
specs_to_remove = [MatchSpec(m) for m in mmb_specs[1]]
transaction.log_json()
downloaded = transaction.prompt(PackageCacheData.first_writable().pkgs_dir,
repos)
if not downloaded:
exit(0)
PackageCacheData.first_writable().reload()
# if use_mamba_experimental and not os.name == "nt":
if use_mamba_experimental:
if newenv and not isdir(context.target_prefix) and not context.dry_run:
mkdir_p(prefix)
transaction.execute(prefix_data,
PackageCacheData.first_writable().pkgs_dir)
else:
conda_transaction = to_txn(
specs_to_add,
specs_to_remove,
prefix,
to_link,
to_unlink,
installed_pkg_recs,
index,
)
handle_txn(conda_transaction, prefix, args, newenv)
try:
installed_json_f.close()
os.unlink(installed_json_f.name)
except Exception:
pass
def mamba_install(prefix, specs, args, env, *_, **kwargs):
# TODO: support all various ways this happens
init_api_context()
api.Context().target_prefix = prefix
match_specs = [MatchSpec(s) for s in specs]
# Including 'nodefaults' in the channels list disables the defaults
channel_urls = [chan for chan in env.channels if chan != "nodefaults"]
if "nodefaults" not in env.channels:
channel_urls.extend(context.channels)
for spec in match_specs:
# CONDA TODO: correct handling for subdir isn't yet done
spec_channel = spec.get_exact_value("channel")
if spec_channel and spec_channel not in channel_urls:
channel_urls.append(str(spec_channel))
ordered_channels_dict = prioritize_channels(channel_urls)
pool = api.Pool()
repos = []
index = load_channels(pool,
tuple(ordered_channels_dict.keys()),
repos,
prepend=False)
if not (context.quiet or context.json):
print("\n\nLooking for: {}\n\n".format(specs))
solver_options = [(api.SOLVER_FLAG_ALLOW_DOWNGRADE, 1)]
installed_pkg_recs = []
# We check for installed packages even while creating a new
# Conda environment as virtual packages such as __glibc are
# always available regardless of the environment.
installed_json_f, installed_pkg_recs = get_installed_jsonfile(prefix)
repo = api.Repo(pool, "installed", installed_json_f.name, "")
repo.set_installed()
repos.append(repo)
solver = api.Solver(pool, solver_options)
# Also pin the Python version if it's installed
# If python was not specified, check if it is installed.
# If yes, add the installed python to the specs to prevent updating it.
if "python" not in [s.name for s in match_specs]:
installed_names = [i_rec.name for i_rec in installed_pkg_recs]
if "python" in installed_names:
i = installed_names.index("python")
version = installed_pkg_recs[i].version
python_constraint = MatchSpec("python==" +
version).conda_build_form()
solver.add_pin(python_constraint)
pinned_specs = get_pinned_specs(prefix)
pinned_specs_info = ""
if pinned_specs:
conda_prefix_data = PrefixData(prefix)
for s in pinned_specs:
x = conda_prefix_data.query(s.name)
if x:
for el in x:
if not s.match(el):
print(
"Your pinning does not match what's currently installed."
" Please remove the pin and fix your installation")
print(" Pin: {}".format(s))
print(" Currently installed: {}".format(el))
exit(1)
try:
final_spec = loosen_spec(s.conda_build_form())
pinned_specs_info += f" - {final_spec}"
solver.add_pin(final_spec)
except AssertionError:
print(f"\nERROR: could not add pinned spec {s}. Make sure pin"
"is of the format\n"
"libname VERSION BUILD, for example libblas=*=*mkl\n")
if pinned_specs_info:
print(f"\n Pinned packages:\n\n{pinned_specs_info}\n")
solver.add_jobs(specs, api.SOLVER_INSTALL)
success = solver.solve()
if not success:
print(solver.problems_to_str())
exit(1)
package_cache = api.MultiPackageCache(context.pkgs_dirs)
transaction = api.Transaction(solver, package_cache)
if not (context.quiet or context.json):
transaction.print()
mmb_specs, to_link, to_unlink = transaction.to_conda()
specs_to_add = [MatchSpec(m) for m in mmb_specs[0]]
conda_transaction = to_txn(specs_to_add, [], prefix, to_link, to_unlink,
installed_pkg_recs, index)
pfe = conda_transaction._get_pfe()
pfe.execute()
conda_transaction.execute()
def install(args, parser, command='install'):
"""
mamba install, mamba update, and mamba create
"""
context.validate_configuration()
check_non_admin()
init_api_context()
newenv = bool(command == 'create')
isinstall = bool(command == 'install')
solver_task = api.SOLVER_INSTALL
isupdate = bool(command == 'update')
if isupdate:
solver_task = api.SOLVER_UPDATE
if newenv:
ensure_name_or_prefix(args, command)
prefix = context.target_prefix
if newenv:
check_prefix(prefix, json=context.json)
if context.force_32bit and prefix == context.root_prefix:
raise CondaValueError("cannot use CONDA_FORCE_32BIT=1 in base env")
if isupdate and not (args.file or args.packages
or context.update_modifier == UpdateModifier.UPDATE_ALL):
raise CondaValueError("""no package names supplied
# If you want to update to a newer version of Anaconda, type:
#
# $ conda update --prefix %s anaconda
""" % prefix)
if not newenv:
if isdir(prefix):
delete_trash(prefix)
if not isfile(join(prefix, 'conda-meta', 'history')):
if paths_equal(prefix, context.conda_prefix):
raise NoBaseEnvironmentError()
else:
if not path_is_clean(prefix):
raise DirectoryNotACondaEnvironmentError(prefix)
else:
# fall-through expected under normal operation
pass
else:
if args.mkdir:
try:
mkdir_p(prefix)
except EnvironmentError as e:
raise CondaOSError("Could not create directory: %s" % prefix, caused_by=e)
else:
raise EnvironmentLocationNotFound(prefix)
prefix = context.target_prefix
index_args = {
'use_cache': args.use_index_cache,
'channel_urls': context.channels,
'unknown': args.unknown,
'prepend': not args.override_channels,
'use_local': args.use_local
}
args_packages = [s.strip('"\'') for s in args.packages]
if newenv and not args.no_default_packages:
# Override defaults if they are specified at the command line
# TODO: rework in 4.4 branch using MatchSpec
args_packages_names = [pkg.replace(' ', '=').split('=', 1)[0] for pkg in args_packages]
for default_pkg in context.create_default_packages:
default_pkg_name = default_pkg.replace(' ', '=').split('=', 1)[0]
if default_pkg_name not in args_packages_names:
args_packages.append(default_pkg)
num_cp = sum(s.endswith('.tar.bz2') for s in args_packages)
if num_cp:
if num_cp == len(args_packages):
explicit(args_packages, prefix, verbose=not (context.quiet or context.json))
return
else:
raise CondaValueError("cannot mix specifications with conda package"
" filenames")
index = get_index(channel_urls=index_args['channel_urls'],
prepend=index_args['prepend'], platform=None,
use_local=index_args['use_local'], use_cache=index_args['use_cache'],
unknown=index_args['unknown'], prefix=prefix)
channel_json = []
strict_priority = (context.channel_priority == ChannelPriority.STRICT)
if strict_priority:
# first, count unique channels
n_channels = len(set([channel.canonical_name for _, channel in index]))
current_channel = index[0][1].canonical_name
channel_prio = n_channels
for subdir, chan in index:
# add priority here
if strict_priority:
if chan.canonical_name != current_channel:
channel_prio -= 1
current_channel = chan.canonical_name
priority = channel_prio
else:
priority = 0
subpriority = 0 if chan.platform == 'noarch' else 1
if subdir.loaded() == False and chan.platform != 'noarch':
# ignore non-loaded subdir if channel is != noarch
continue
if context.verbosity != 0:
print("Cache path: ", subdir.cache_path())
channel_json.append((chan, subdir.cache_path(), priority, subpriority))
installed_json_f = get_installed_jsonfile(prefix)
specs = []
if args.file:
for fpath in args.file:
try:
file_specs = specs_from_url(fpath, json=context.json)
except Unicode:
raise CondaValueError("Error reading file, file should be a text file containing"
" packages \nconda create --help for details")
if '@EXPLICIT' in file_specs:
explicit(file_specs, prefix, verbose=not (context.quiet or context.json), index_args=index_args)
return
specs.extend([MatchSpec(s) for s in file_specs])
specs.extend(specs_from_args(args_packages, json=context.json))
if isinstall and args.revision:
get_revision(args.revision, json=context.json)
elif isinstall and not (args.file or args_packages):
raise CondaValueError("too few arguments, "
"must supply command line package specs or --file")
# for 'conda update', make sure the requested specs actually exist in the prefix
# and that they are name-only specs
if isupdate and context.update_modifier == UpdateModifier.UPDATE_ALL:
# Note: History(prefix).get_requested_specs_map()
print("Currently, mamba can only update explicit packages! (e.g. mamba update numpy python ...)")
exit()
if isupdate and context.update_modifier != UpdateModifier.UPDATE_ALL:
prefix_data = PrefixData(prefix)
for s in args_packages:
s = MatchSpec(s)
if not s.is_name_only_spec:
raise CondaValueError("Invalid spec for 'conda update': %s\n"
"Use 'conda install' instead." % s)
if not prefix_data.get(s.name, None):
raise PackageNotInstalledError(prefix, s.name)
if newenv and args.clone:
if args.packages:
raise TooManyArgumentsError(0, len(args.packages), list(args.packages),
'did not expect any arguments for --clone')
clone(args.clone, prefix, json=context.json, quiet=(context.quiet or context.json), index_args=index_args)
touch_nonadmin(prefix)
print_activate(args.name if args.name else prefix)
return
spec_names = [s.name for s in specs]
if not (context.quiet or context.json):
print("\nLooking for: {}\n".format(spec_names))
# If python was not specified, check if it is installed.
# If yes, add the installed python to the specs to prevent updating it.
python_added = False
if 'python' not in spec_names:
installed_names = [i_rec.name for i_rec in installed_pkg_recs]
if 'python' in installed_names:
i = installed_names.index('python')
version = installed_pkg_recs[i].version
specs.append(MatchSpec('python==' + version))
python_added = True
mamba_solve_specs = [s.conda_build_form() for s in specs]
pool = api.Pool()
repos = []
# add installed
if use_mamba_experimental:
prefix_data = api.PrefixData(context.target_prefix)
prefix_data.load()
repo = api.Repo(pool, prefix_data)
repos.append(repo)
else:
repo = api.Repo(pool, "installed", installed_json_f.name, "")
repo.set_installed()
repos.append(repo)
for channel, cache_file, priority, subpriority in channel_json:
repo = api.Repo(pool, str(channel), cache_file, channel.url(with_credentials=True))
repo.set_priority(priority, subpriority)
repos.append(repo)
solver = api.Solver(pool, solver_options)
solver.add_jobs(mamba_solve_specs, solver_task)
success = solver.solve()
if not success:
print(solver.problems_to_str())
exit_code = 1
return exit_code
package_cache = api.MultiPackageCache(context.pkgs_dirs)
transaction = api.Transaction(solver, package_cache)
to_link, to_unlink = transaction.to_conda()
transaction.log_json()
downloaded = transaction.prompt(PackageCacheData.first_writable().pkgs_dir, repos)
if not downloaded:
exit(0)
PackageCacheData.first_writable().reload()
if python_added:
specs = [s for s in specs if s.name != 'python']
if use_mamba_experimental and not os.name == 'nt':
if command == 'create' and not isdir(context.target_prefix):
mkdir_p(prefix)
transaction.execute(prefix_data, PackageCacheData.first_writable().pkgs_dir)
else:
conda_transaction = to_txn(specs, (), prefix, to_link, to_unlink, index)
handle_txn(conda_transaction, prefix, args, newenv)
try:
installed_json_f.close()
os.unlink(installed_json_f.name)
except:
pass
def mamba_install(prefix, specs, args, env, *_, **kwargs):
# TODO: support all various ways this happens
init_api_context()
api.Context().target_prefix = prefix
match_specs = [MatchSpec(s) for s in specs]
# Including 'nodefaults' in the channels list disables the defaults
channel_urls = [chan for chan in env.channels if chan != "nodefaults"]
if "nodefaults" not in env.channels:
channel_urls.extend(context.channels)
for spec in match_specs:
# CONDA TODO: correct handling for subdir isn't yet done
spec_channel = spec.get_exact_value("channel")
if spec_channel and spec_channel not in channel_urls:
channel_urls.append(str(spec_channel))
ordered_channels_dict = prioritize_channels(channel_urls)
pool = api.Pool()
repos = []
index = load_channels(pool,
tuple(ordered_channels_dict.keys()),
repos,
prepend=False)
if not (context.quiet or context.json):
print("\n\nLooking for: {}\n\n".format(specs))
solver_options = [(api.SOLVER_FLAG_ALLOW_DOWNGRADE, 1)]
installed_pkg_recs = []
python_constraint = None
# We check for installed packages even while creating a new
# Conda environment as virtual packages such as __glibc are
# always available regardless of the environment.
installed_json_f, installed_pkg_recs = get_installed_jsonfile(prefix)
repo = api.Repo(pool, "installed", installed_json_f.name, "")
repo.set_installed()
repos.append(repo)
# Also pin the Python version if it's installed
# If python was not specified, check if it is installed.
# If yes, add the installed python to the specs to prevent updating it.
if "python" not in [s.name for s in match_specs]:
installed_names = [i_rec.name for i_rec in installed_pkg_recs]
if "python" in installed_names:
i = installed_names.index("python")
version = installed_pkg_recs[i].version
python_constraint = MatchSpec("python==" +
version).conda_build_form()
solver = api.Solver(pool, solver_options)
solver.add_jobs(specs, api.SOLVER_INSTALL)
if python_constraint:
solver.add_pin(python_constraint)
success = solver.solve()
if not success:
print(solver.problems_to_str())
exit(1)
package_cache = api.MultiPackageCache(context.pkgs_dirs)
transaction = api.Transaction(solver, package_cache)
if not (context.quiet or context.json):
transaction.print()
mmb_specs, to_link, to_unlink = transaction.to_conda()
specs_to_add = [MatchSpec(m) for m in mmb_specs[0]]
conda_transaction = to_txn(specs_to_add, [], prefix, to_link, to_unlink,
installed_pkg_recs, index)
pfe = conda_transaction._get_pfe()
pfe.execute()
conda_transaction.execute()